16 results on '"Pegah Kharazmi"'
Search Results
2. Pyramid Dynamic Inference: Encouraging Faster Inference Via Early Exit Boosting.
- Author
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Ershad Banijamali, Pegah Kharazmi, Sepehr Eghbali, Jixuan Wang, Clement Chung, and Samridhi Choudhary
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- 2023
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3. Automatic detection of translucency using a deep learning method from patches of clinical basal cell carcinoma images.
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He Huang, Pegah Kharazmi, David I. McLean, Harvey Lui, Z. Jane Wang 0001, and Tim K. Lee
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- 2018
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4. A Computer-Aided Decision Support System for Detection and Localization of Cutaneous Vasculature in Dermoscopy Images Via Deep Feature Learning.
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Pegah Kharazmi, Jiannan Zheng, Harvey Lui, Z. Jane Wang 0001, and Tim K. Lee
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- 2018
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- View/download PDF
5. Automatic detection of basal cell carcinoma using vascular-extracted features from dermoscopy images.
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Pegah Kharazmi, Harvey Lui, Z. Jane Wang 0001, and Tim K. Lee
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- 2016
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6. Automated Detection and Segmentation of Vascular Structures of Skin Lesions Seen in Dermoscopy, With an Application to Basal Cell Carcinoma Classification.
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Pegah Kharazmi, Mohammed I. AlJasser, Harvey Lui, Z. Jane Wang 0001, and Tim K. Lee
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- 2017
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7. Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images.
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Pegah Kharazmi, Sunil Kalia, Harvey Lui, Z. Jane Wang 0001, and Tim K. Lee
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- 2018
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- View/download PDF
8. Automatic detection and segmentation of vascular structures in dermoscopy images using a novel vesselness measure based on pixel redness and tubularness.
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Pegah Kharazmi, Harvey Lui, William V. Stoecker, and Tim K. Lee
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- 2015
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9. Automated Detection and Segmentation of Vascular Structures of Skin Lesions Seen in Dermoscopy, With an Application to Basal Cell Carcinoma Classification
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Tim K. Lee, Harvey Lui, Z. Jane Wang, Pegah Kharazmi, and Mohammed I. AlJasser
- Subjects
Pathology ,medicine.medical_specialty ,Skin Neoplasms ,Erythema ,Dermoscopy ,Pattern Recognition, Automated ,030218 nuclear medicine & medical imaging ,Lesion ,Hemoglobins ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Health Information Management ,Image Interpretation, Computer-Assisted ,Humans ,Medicine ,Basal cell carcinoma ,Segmentation ,Electrical and Electronic Engineering ,Skin ,integumentary system ,business.industry ,medicine.disease ,Independent component analysis ,Thresholding ,Computer Science Applications ,Random forest ,Carcinoma, Basal Cell ,Area Under Curve ,medicine.symptom ,Skin cancer ,business ,Biotechnology - Abstract
Blood vessels are important biomarkers in skin lesions both diagnostically and clinically. Detection and quantification of cutaneous blood vessels provide critical information toward lesion diagnosis and assessment. In this paper, a novel framework for detection and segmentation of cutaneous vasculature from dermoscopy images is presented and the further extracted vascular features are explored for skin cancer classification. Given a dermoscopy image, we segment vascular structures of the lesion by first decomposing the image using independent-component analysis into melanin and hemoglobin components. This eliminates the effect of pigmentation on the visibility of blood vessels. Using k-means clustering, the hemoglobin component is then clustered into normal, pigmented, and erythema regions. Shape filters are then applied to the erythema cluster at different scales. A vessel mask is generated as a result of global thresholding. The segmentation sensitivity and specificity of 90% and 86% were achieved on a set of 500 000 manually segmented pixels provided by an expert. To further demonstrate the superiority of the proposed method, based on the segmentation results, we defined and extracted vascular features toward lesion diagnosis in basal cell carcinoma (BCC). Among a dataset of 659 lesions (299 BCC and 360 non-BCC), a set of 12 vascular features are extracted from the final vessel images of the lesions and fed into a random forest classifier. When compared with a few other state-of-art methods, the proposed method achieves the best performance of 96.5% in terms of area under the curve (AUC) in differentiating BCC from benign lesions using only the extracted vascular features.
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- 2017
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10. Automatic detection of translucency using a deep learning method from patches of clinical basal cell carcinoma images
- Author
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Harvey Lui, Pegah Kharazmi, Z. Jane Wang, David I. McLean, Tim K. Lee, and Huang He
- Subjects
business.industry ,Computer science ,Deep learning ,Early detection ,Pattern recognition ,030206 dentistry ,medicine.disease ,Autoencoder ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Softmax function ,medicine ,Basal cell carcinoma ,Artificial intelligence ,Skin cancer ,business ,Classifier (UML) ,Automated method - Abstract
Translucency, defined as a jelly-like appearance, is a common clinical feature of basal cell carcinoma, the most common skin cancer. The feature plays an important role in diagnosing basal cell carcinoma in an early stage because the feature can be observed readily in clinical examinations with a high specificity of 93%. Therefore, translucency detection is a critical component of computer aided systems which aim at early detection of basal cell carcinoma. To address this problem, we proposed an automated method for analyzing patches of clinical basal cell carcinoma images using stacked sparse autoencoder (SSAE). SSAE learns high-level features in unsupervised manner and all learned features are fed into a softmax classifier for translucency detection. Across the 4401 patches generated from 32 clinical images, the proposed method achieved a 93% detection accuracy from a five-fold cross-validation. The preliminary result suggested that the proposed method could detect translucency from skin images.
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- 2018
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11. Abstracts from the 4th World Congress of the International Dermoscopy Society, April 16-18, 2015, Vienna, Austria
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Michael A. Marchetti, Alexandros Stratigos, Claudia Jaeger, Nanja van Geel, Erika Varga, Rachel M Bowden, Nebojsa Pesic, Lauren A. Penn, Francesca Farnetani, Irena Walecka, Otto S. Wolfbeis, Anna Pogorzelska-Antkowiak, Małgorzata Zadurska, Miriam A. Jesús Silva, Mari Grönroos, Fabrizio Ayala, Claudia Sprincenatu, Ausilia Maria Manganoni, Jhonatan Rafael S. Pinheiro, Vincent Descamps, Era C. Murzaku, Josephine Rau, Christian Landi, Josep Malvehy, Othon Papadopoulos, Renato Talamini, Savitha L. Beergouder, Adrian Ballano Ruiz, Karina Scandura, Flavia Persechino, Yunxian Tian, Mark Berneburg, Iara Drakensjö, Luis Javier Del pozo, Elizabeth Lazaridou, Marwah A. Saleh, Wei Zhang, Dalal Mosaad, Aida Carolina Medina, Alka Lalji, Robabeh Abedini, FZ Debagh, Ligia Brzezinska-Wcislo, Nurşah Doğan, Naglaa Ahmed, Tamerlan Shaipov, Ritta Khoury, Lidija Kandolf-Sekulovic, Aldo Bono, Luis Angel Vera, Naotomo Kambe, Jaka Rados, Sergio Talarico, Milvia Maria S. E. S. Enokihara, Iris Zalaudek, Malgorzata Maj, Francesca Specchio, Paloma Arribas, Nazan Emiroglu, Andreea Ioana Popescu, Irina Sergeeva, Virginia Chitu, Michael Kirschbaum, Sergio Yamada, Niken Wulandari, Rotaru Maria, Lore Pil, Lieve Brochez, Anthony Azzi, Vasiliy Y. Sergeev, Raimonds Karls, Zeynep Topkarci, Tanja Planinsek Rucigaj, Osvania Maris, Graham J. Mann, Timótio Dorn, Lubomir Drlik, Pilar Iranzo, Sara Minghetti, Michael Noe, Ahmet R Akar, Jesus Cuevas Santos, Laura Raducu, Salim Ysmail-Dahlouk, Laura Mazzoni, Sidharth Sonthalia, Neşe Çallı Demirkan, Yaei Togawa, Branislava Gajic, Ayelet Rishpon, Chih-Hsun Yang, Barbara Boone, José Luis López-Estebaranz, Markus Albert, George Evangelou, André L.M. Oliveira, Ioana Gencia, Nada Vuckovic, Rosa Perelló, Ana Maria Draganita, Michel Colomb, Ayse Cefle, Hongguang Lu, Annarosa Virgili, Hayriye Saricaoglu, Esther A.W. Wolberink, Michael Russu, Elisabeth Arnoult-Coudoux, Caroline Nicaise-Bergère, Aleksandra M Ignjatović, Necmettin Özdemir, Kristīne Zabludovska, Cemal Bilaç, Jose Luis Lopez Estebaranz, Marie-Christine Lami, Harold S. Rabinovitz, Izabel Bota, Damien Grivet, Dimitrije Brasanac, Andrei Jalba, Joep Hoevenaars, Sofie De Schepper, Deniz Duman, Vladimir Vasku, Anna Belloni Fortina, Rosa Cristina Coppola, Marion Chavez-Bourgeois, Hoon-Soo Kim, Zamira Barragan, Julia Welzel, Thomas Ruzicka, Patricia V. Cristodor, Pierfrancesco Zampieri, Michael Lanthaler, Marc Haspeslagh, Jürgen Christian Becker, Gamze Erfan, Tanja Maier, Hui Mei Cheng, Mauro Enokihara, Ana Arance, Emel Dikicioglu Cetin, Pranaya A. Bagde, Mona M. Elfangary, Stefano Cavicchini, Alicia Barreiro, Odivânia Krüger, Mariana Petaccia Macedo, Itziar Erana Tomas, Elimar Elias Gomes, Monika Vrablova, Marcio Lorencini, Javier Alcántara González, Giuseppe Micali, Kerstin Kellermann, Mauricio Mendonca do Nascimento, Elisabeth Mt Wurm, Elena Sánchez-Largo Uceda, Yury Sergeev, Céleste Lebbé, Manfred Fiebiger, Gisele Gargantini Rezze, Antonio Graziano, Ana Pampín, Márcia Ferreira Candido, Martine Bagot, Jan Lapins, Nahide Onsun, Daniela Göppner, Katie Lee, Josef Schröder, Gisele G Rezze, Reyes Gamo, Mauricio Soto-Gamboa, Giovanni Pellacani, Maria Luiza P. Freitas, Mizuki Sawada, Hyun-Chang Ko, Ramon M Pujol Vallverdú, Jin gyoon Park, Peter Weber, Alberto Mota, Theofanis Spiliopoulos, Renata B. Marques, Daiji Furusho, Barbora Divisova, Pascale Guitera, Johan Heilborn, Alexandr Fedoseev, Athanasios Kyrgidis, Zakia Douhi, Mariame Meziane, Florent Grange, Alister Lilleyman, Juliana C. Marques-Da-Costa, Mitsuyasu Nakajima, Camilla Reggiani, Marina Meneses, Anna Sokolova, Zoe Apalla, Leo Čabrijan, Tim Lee, Piergiacomo Calzavara-Pinton, Tomas Fikrle, Georgios Chaidemenos, Braun Ralph, Aikaterini Patsatsi, Ekin Şavk, Marcela Pecora Cohen, Ioannis Efstratiou, Gurol Acikgoz, Pietro Quaglino, Nati Angelica, Luc Thomas, Edileia Bagatin, Kedima C. Nassif, Dimitrios Sotiriadis, Regina Fink-Puches, Anna Maria Wozniak, Salvador González, Agnieszka Buszko, Fezal Ozdemir, Banu Yaman, Vishnu Moodalgiri, Anne Grange, Robert J Meier, Davorin Loncaric, Fatmagül Keleş, Renato Marchiori Bakos, Sergio Chimenti, Sebastian Podlipnik, Pınar Incel Uysal, Devinder M Thappa, Nida Kaçar, Emel Bulbul Baskan, Erna Snellman, Pietro Rubegni, J. Kreusch, Hae Jin Pak, Danijela Dobrosavljevic Vukojevic, Bengü Nisa Akay, Holger A. Haenssle, Horacio Cabo, Anna Rammlmair, Fred Godtliebsen, Chiara Ferrari, Hiroshi Sakai, Christina Kemanetzi, Åsa Ingvar, Jitka Suchmannova, Zlata Janjic, Samira Zobiri, Haishan Zeng, Emine Böyük, Antonello Felli, Je-Ho Mun, Pablo Fernández Peñas, Ercan Caliskan, Satish S. Udare, Borna Pavičić, Max Hundeiker, Cristel Ruini, A. Hakan Cermik, Ülker Gül, Auro ra Parodi, Timothy P. Wu, Bernardo Gontijo, Ivan Klyuzhin, Gabriela Turcu, Sylvia Aidé Martínez-Cabriales, Francisco Alcántara Nicolás, Inge A. Krisanti, Sandra Cecilia García-García, Meriem Benfodda, Nika Madjlessi, Paraskevi Karagianni, Gizem Yağcıoğlu, Didem Dizman, Danielle I. Shitara, Nilda Eliana Gomez-Bernal, Mirna Šitum, Natalia Ilina, Job Van Der Heijden, Małgorzata Kwiatkowska, Bota Izabel, Ismini Vassilaki, Irene Potouridou, Jorge Luis Rosado, Lukas Prantl, María-José Bañuls, Fernando N. Barbosa, Seitaro Nakagawa, Jana Dornheim, Hitoshi Iyatomi, Rifat Saitburkhanov, Çiğdem Çağlayan, Natalie Ong, Stefano Gardini, Temeida Alendar, Zrinka Rendić-Miočević, Ryuhei Okuyama, Wafae Bono, Olga Warszawik-Hendzel, Danica Tiodorovic-Zivkovic, Alise Balcere, Ramazan Kahveci, Sebastian Gehmert, Herbert M. Kirchesch, Fernando Javier Pinedo, Raul Niin, Dan Savastru, Andreas Blum, Valeria Coco, Alexander C. Katoulis, Yosuke Yamamoto, Mumtaz Jabeen, Louise De Brot Andrade, Lidia Rudnicka, Pierre Wolkenstein, Fatma Pelin Cengiz, Woo-il Kim, Rainer Hofmann-Wellenhof, Tine Vestergaard, Maria Valeria B. Pinheiro, Ana Filipa Pedrosa, Caroline M. Takigami, Nilgün Bilen, Feroze Kaliyadan, Lotte Themstrup, Awatef Kelati, Katrien Vossaert, Burak Sezen, Natalia Jaimes, Olga Zhukova, Peter Jung, Nidhi Singh, Uxua Floristan, Ivette Alarcon, Michel Baccard, Flávia V. Bittencourt, Nicolas Dupin, Neslihan Şendur, Flavia Boff, Lydia Garcia Gaba, João Pedreira Duprat Neto, Caius Solovan, Byung Soo Kim, Anamaria Jović, Toshitsugu Sato, Antoni Bennassar, Ilkka Pölönen, Svetlana Rogozarski, Agnieszka Kardynał, Harald P.M. Gollnick, Anastasia Trigoni, Harvey Lui, Hiroshi Koga, Dai Ogata, Zeynep N. Saraçoğlu, Nilton B Rodrigues, Ketty Peris, Vanessa da Silva, Akira Hamada, Monica Corazza, Azmat A. Khan, Cengizhan Erdem, Victor Desmond Mandel, Sabina Zurac, Laura Elena Barbosa-Moreno, Filomena Azevedo, Matsue Hiroyuki, Philippe Saiag, Kara Shah, Stephen W. Dusza, Margaret Song, Francesca Giusti, Lidija Zolotarevski, Romain Vie, Rutao Cui, Aylin Okçu Heper, Kerstin Wöltje, Kyoko Tonomura, Charlotte H. Vuong, Moira Ragazzi, Marta Andreu Barasoain, Stephan Schreml, Branka Marinović, Mona R E Abdel Halim, Selimir Kovacevic, Noriaki Kamada, Adriana Garcia-Herrera, Ayse S. Filiz, Helena Collgros, Joan A. Puig-Butille, Ulvi Loite, Meng-Tsan Tsai, Nele Degryse, Philipp Tschandl, Seiichiro Wakabayashi, Korina Tzima, Kari Nielsen, Edith Arzberger, Alain Archimbaud, Makiko Miyamoto, Steffen Emmert, Katharine Hanlon, Stefano Astorino, Andre Sobiecki, Trevino A Pakasi, Giovanni Ghigliotti, Arzu Karataş Toğral, Sara Bassoli, Mahdi Akhbardeh, Martina Ulrich, Mirna Bradamante, Gökhan Uslu, Ross Flewell-Smith, Mauro Alaibac, Bettina Kranzelbinder, Steven Gazal, Nina Malishevskaya, Mikhail Ustinov, Noora Neittaanmäki-Perttu, Olga Simionescu, Saime Irkoren, Mahsa Ansari, Mustafa Turhan Sahin, Priit Kruus, Jana Janovska, Vesna Gajanin, Giovanni Ponti, Alon Scope, Ozkan Kanat, Cesare Massone, Thomas Schopf, Karolina Hadasik, Magnus Karlsson, Ayça Tan, Ignacio Gómez Martín, Armand Bensussan, Dilara Tüysüz, Saleh M. H. El Shiemy, Ine De Wispelaere, Malou Peppelman, Kenan Aydogan, Christian Teutsch, Ryszard A. Antkowiak, Nathalie De Carvahlo, Fatma Shabaka, Matthias Karasek, Christina Fotiadou, Wael M. Saudi, Matthias Weber, Maria Saletta Palumbo, Elisa Benati, Hana Helppikangas, Mariana Grigore, Leonard Witkamp, Rajiv Kumar, Stella Atkins, Eugene Y. Neretin, Dirk Berndt, Piet E.J van Erp, Alessandro Testori, David Duffy, Steluta Ratiu, Tara Bronsnick, Christoph Rinner, Soo-Han Woo, Federica Ferrari, Gabriela Garbin, Eduardo Nagore, Claus Duschl, Caterina Longo, Daniel Alcala-Perez, Helmut Beltraminelli, Sarah Hedtrich, David C McLean, Bojana Spasic, Martin Laimer, Malgorzata Pawlowska-Kisiel, Bohdan Lytvynenko, Heba I. Nagy Abd El-Gawad, Jean-Luc Perrot, Daška Štulhofer Buzina, Dimitrios Rigopoulos, Christian Hallermann, Jeffrey Keir, Adriana Martín Fuentes, Franz Trautinger, Walter L. G. Machado, Emese Gellén, Tatjana Ros, Gabriella Emri, Pinar Y. Basak, Nilay Duman, Reinhart Speeckaert, Peter Komericki, Maciel Zortea, Raphaela Kaestle, Lucía Pérez Carmona, Masaru Tanaka, Ionela Manole, Calin Giurcaneanu, Cristina Carrera, Jianhua Zhao, Marsha Mitchum, Isil Kilinc Karaarslan, Michael Muntifering, Alice Casari, Nicole Basset-Seguin, Seok-Kweon Yun, Vesna Mikulic, Albert Brugués, Kim-Dung Nguyen, Reshmi Madankumar, Joo-Ik Kim, Anna Skrok, Nicolle Mazzotti, Aomar Ammar-Khodja, Alina Avram, Laxmisha Chandrashekar, Dilek Biyik Ozkaya, Refika F. Artuz, Joanna Czuwara-Ladykowska, Hana Szakos, Dejan M Nikolic, Katarzyna Żórawicz, Georg Duftschmid, Natalia Pikelgaupt, Jorge Ocampo-Candiani, Irdina Drljevic, Canten Tataroglu, Esther Jiménez Blázquez, Philippe Gain, Simonetta Piana, Yunus Bulgu, Lars Dornheim, Bruno Labeille, Helmut Schaider, Nitul Khiroya, Sofia Theotokoglou, Christian Morsczeck, Kalliopi Armyra, Serap Öztürkcan, Shricharit h Shetty, Ozlem Su, Susana Puig, Lina Ivert, Katia Ongenae, Hirotsugu Shirabe, Ardalan Benam, Gustav Christensen, Veronika Paťavová, Adria Gual, Laura Pavoni, Mihaita Viorica Mihalceanu, Slobodan Jesic, Abdurrahman Bugra Cengiz, Jerome Becquart, Yasutomo Mikoshiba, Mattia Carbotti, Marcelo O. Samolé, Margherita Raucci, Sven Lanssens, Maria João M. Vasconcelos, Valeriy Semisazhenov, Fabio Facchetti, Monia Maccaferri, Vincenzo Panasiti, Camila M. Carvalho, Elena Tolomio, Ercan Arca, Celia Badenas, Sonia Segura Tigell, Francesco Lacarrubba, Ruzica Jurakic Toncic, Uday Khopkar, Uwe Seidl, Clóvis Antônio Lopes Pinto, Alice Marneffe, Zhenguo Wu, Josefin Lysell, Malgorzata Olszewska, Marta Ruano Del Salado, Alina Gogulescu, Tarl W. Prow, Christine Fink, Jean-Marie Tan, Milana Ivkov Simic, Mahshid S. Ansari, Stamatina Geleki, Sondang P. Sirait, Flavia Baderca, Marcella N. Silva, Andra Pehoiu, Joost Koehoorn, Ajay Goyal, Maria Dirlei Ferreira de Souza Begnami, Hui-bin Lu, Hoda A. Moneib, Maria Antonietta Pizzichetta, Scott Menzies, Gulsel Anil Bahali, Vesna Tlaker Zunter, Elfrida Carstea, Ines Chevolet, Septimiu Enache, Aysun Şikar Aktürk, Clara Kirchner, Greg Canning, Dina M. Shahin, Incilay Kalay Tugrul, Kristina Opletalova, Lars Hofmann, Mario Santinami, Anna Elisa Verzì, Asunción Vicente, Nathalia Delcourt, null Mernissi, Duru Tabanlıoglu Onan, Dorothy Polydorou, Irma Korom, Sara Moreno Fernández, Salim Gallouj, Annamari Ranki, Riina Hallik, Saduman Balaban Adim, Erietta Christofidou, Gustavo D. C. Dieamant, Vincenzo De Giorgi, Gregor B.E. Jemec, Kajsa Møllersen, Monisha lalji, Georgiana Simona Mohor, Hans-Jürgen Schulz, Justin R Sharpe, Karinna S. Machado, Efterpi Demiri, Mohammed I. AlJasser, Jelena Stojkovic-Filipovic, Harald Kittler, José M. A. Lopes, Adriana Diaconeasa, Patricia Serrano, Alfonso D’Orazio, Luca Mazzucchelli, Riccardo Bono, Oliver Felthaus, Juan Garcias-Ladaria, Zeljko Mijuskovic, Zsuzsanna Bago-Horvath, Alin Laurentiu Tatu, Christine Prodinger, Roland Blum, Demetrios Ioannides, Nadem Soufir, Diego Serraino, Ahmed M. Sadek, Leticia Calzado Villareal, Elliot Coates, Mariana Costache, Machuel Bruno, Bengu Gerceker Turk, Liliana Gabriela Popa, Han-Uk Kim, Lisa Hoogedoorn, Efstratios Vakirlis, Monika Kotrlá, Gabriel Salerni, Ela Comert, Salvatore Zanframundo, Zsuzsanna Lengyel, Francisco Jose Deleon, Maryam Sadeghi Naeeni, Georgios Kontochristopoulos, Ana Carolina Cherobin, Michiyo Matsumoto-Nakano, Gabriela Fortes Escobar, Maria Concetta Fargnoli, Ayse Oktem, Petra Fedorcova, Slavomir Urbancek, Hyunju Jin, Frédéric Cambazard, Tracey Newlove, Nataliya Sirmays, Cliff Rosendahl, Tamara Micantonio, Shirin Bajaj, Masa Gorsic, Ana Carolina L. Viana, Valentin Popa, Hubert Pehamberger, Anna Maria Carrozzo, Valentina Girgenti, Phil McClenahan, Beata Bergler-Czop, Alex Llambrich, Özgür Bakar, David Polsky, Krishnakant B. Pandya, Andrea Maurichi, Isabelle Hoorens, Paola Sorgi, Marianne Niin, Serena Magi, Malathi Munisamy, Zlatko Marušić, Cristina Mangas, Hakan Yesil, Miriam Potrony, Safaa Y. Negm, Maria T. Corradin, Stefania Seidenari, Işıl Bulur, Evelin Csernus, Gemma Tell-Marti, Alix Thomas, Juliana Casagrande Tavoloni Braga, Marco Manfredini, Karime M. Hassun, Celia Levy-Silbon, Lali Mekokishvili, Cem Yildirim, Hanna Eriksson, John H. Pyne, Angel Pizarro, Hakim Hammadi, Alessandro Borghi, Mariana A. Cordeiro, Fatima Zohra, A. Tülin Güleç, Ivan Ruiz Victoria, Joanna N. Łudzik, Radwa Magdy, Hisashi Uhara, Grażyna Kamińska-Winciorek, Llúcia Alòs, Pegah Kharazmi, Keisuke Suehiro, Lucian Russu, Zorica Đorđević Brlek, Sandrine Massart-Manil Massart-Manil, Moon-Bum Kim, Noha E. Hashem, Domenico Piccolo, Francesca Cicero, Jan Szymszal, Verena Ahlgrimm-Siess, Marian Gonzalez Inchaurraga, Ignazio Stanganelli, Danica Tiodorovic Zivkovic, Bugce Topukcu, Katharina Jaeger, Michael J. Inskip, Sara M. Mohy, Assya Djeridane, Véronique Del Marmol, Isil Kilinc, Nehal Yossif, Geon-Wook Kim, Oleksandr Litus, Ivana Ilić, Richard A Sturm, Mustafa Tunca, Anndressa da Matta, Elisabeth Jecel, Danijela Ćurković, Giuseppe Argenziano, Lynlee L. Lin, Elena Sotiriou, Mikela Petkovic, Suzana Kamberova, Sara Ibañes del Agua, Alan Cameron, Judit Oláh, Marc Nahuys, Leila Jeskanen, Zrinjka Paštar, Anna Wojas-Pelc, Ingela Ahnlide, Romana Čeović, Geoffrey Cains, Gilles Thuret, Mary Thomas, Marios Fragoulis, Drahomira Jarosikova, Manfred Beleut, Ferda Artüz, Brigitte Lavole, Francesco Todisco Grande, Carine Dal Pizzol, Erika Richtig, Nathalie Teixeira De Carvalho, Hans Peter Soyer, Amer M Alanazi, Vesna Sossi, Manal Bosseila, Monica Sulitan, Biancamaria Scoppio, Zrinka Bukvić Mokos, Marie-Jeanne P. Gerritsen, Mariano Suppa, Danielle Giambrone, Christoph Sinz, Jernej Kukovic, Martina Bosic, Adriana Rakowska, Eleni Mitsiou, Kely Hernandez, Ashfaq A. Marghoob, Daniel Boda, Alessandro Di Stefani, Luciana Trane, Leo Raudonikis, Akane Minagawa, Itaru Dekio, Athanassios Kyrgidis, Magdalena Wawrzynkiewicz, Katharina T Weiß, Chie Kamada, Lamberto Zara, Cristian Navarrete-Dechent, Serkan Yazici, Frédéric Renard, Leonie Mathemeier, Nissrine Amraoui, Mariana Fabris, Mariola Wyględowska-Kania, Nikolay Potekaev, Elisa Cinotti, Sedef Şahin, Peter van de Kerkhof, Silvana Ciardo, Sara Izzi, Paolo Piemonte, William V. Stoecker, Giampiero Mazzocchetti, Pasquale Frascione, Louise Lovatto, Ayşegül Yalçınkaya Iyidal, Jennifer A. Stein, Selçuk Yüksel, Daniela Ledić Drvar, Stine F. Pedersen, Dimitrios Sgouros, Meriem Bounouar, Balachandra S Ankad, Rahul Bute, Julia Brockley, Paula Aguilera-Otalvaro, Sumiko Ishizaki, Daniela Kulichova, Ilias Papadimitriou, Yeser Genc, Tanja Batinac, Jadran Bandic, Jean-Michel Lagarde, Göksun Karaman, Philipp Babilas, Mari Salmivuori, Lieven Annemans, Lennart K Blomqvist, Karel Pizinger, Duncan Lambie, Alexander Michael Witkowski, Meltem Uslu, Irena Savo, Martin Gosau, Raphaela Kastle, Olli Saksela, Pedro Zaballos, Esther De Eusebio Murillo, Hu Hui-Han, Sanda Mirela Cherciu, Claudia Artenie, Elvira Moscarella, Richard Johns, Ozlem Erdem, Valérie Vuong, Basma Birqdar, Jela Tomkova, Kasturee Jagirdar, Vassilios Lambropoulos, Moshira S. Bahrawy, Seong-Jin Kim, Su Chii Kong, Helen Schmid, Tetsuya Tsuchida, Michele Tonellato, Laura Berbegal, Lumír Pock, Iustin Hancu, Babar K Rao, Juliette Jegou, Lajos Kemény, Teresa Deinlein, Usha N. Khemani, Davive Guardoli, Juliana Arêas de Souza Lima Beltrame Ferreira, Tatiana Cristina Moraes Pinto Blumetti, Adhimukti T. Sampurna, Alexandru Telea, Ana Maria Forsea, Gionata Marazza, Lidija Kandolf Sekulovic, Marta Kurzeja, Marija Buljan, Fatima Zohra Mernissi, Alba Maiques-Diaz, Roger González, Dimitrios Kalabalikis, María Gabriela Vallone, Vanessa P. Martins Da Silva, Gemma Flores-Pons, Giuseppe Bertollo, Rolland Gyulai, Giuliana Crisman, Secil Saral, Simon Nicholson, Aimilios Lallas, Willeke Blokx, Marc A. L. M. Boone, and Oana Sindea
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Oncology ,business.industry ,RL1-803 ,Genetics ,Medicine ,Library science ,Environmental ethics ,Dermatology ,business ,Molecular Biology - Published
- 2015
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- View/download PDF
12. A Computer-Aided Decision Support System for Detection and Localization of Cutaneous Vasculature in Dermoscopy Images Via Deep Feature Learning
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Jiannan Zheng, Z. Jane Wang, Harvey Lui, Pegah Kharazmi, and Tim K. Lee
- Subjects
Decision support system ,Teledermatology ,020205 medical informatics ,Computer science ,Medicine (miscellaneous) ,Health Informatics ,CAD ,Dermoscopy ,02 engineering and technology ,030218 nuclear medicine & medical imaging ,Pattern Recognition, Automated ,Machine Learning ,03 medical and health sciences ,0302 clinical medicine ,Health Information Management ,Image Interpretation, Computer-Assisted ,0202 electrical engineering, electronic engineering, information engineering ,Humans ,Diagnosis, Computer-Assisted ,Skin ,business.industry ,Deep learning ,Pattern recognition ,Test set ,Computer-aided ,Artificial intelligence ,business ,Feature learning ,Classifier (UML) ,Biomarkers ,Information Systems - Abstract
Vascular structures of skin are important biomarkers in diagnosis and assessment of cutaneous conditions. Presence and distribution of lesional vessels are associated with specific abnormalities. Therefore, detection and localization of cutaneous vessels provide critical information towards diagnosis and stage status of diseases. However, cutaneous vessels are highly variable in shape, size, color and architecture, which complicate the detection task. Considering the large variability of these structures, conventional vessel detection techniques lack the generalizability to detect different vessel types and require separate algorithms to be designed for each type. Furthermore, such techniques are highly dependent on precise hand-crafted features which are time-consuming and computationally inefficient. As a solution, we propose a data-driven feature learning framework based on stacked sparse auto-encoders (SSAE) for comprehensive detection of cutaneous vessels. Each training image is divided into small patches of either containing or non-containing vasculature. A multilayer SSAE is designed to learn hidden features of the data in hierarchical layers in an unsupervised manner. The high-level learned features are subsequently fed into a classifier which categorizes each patch into absence or presence of vasculature and localizes vessels within the lesion. Over a test set of 3095 patches derived from 200 images, the proposed framework demonstrated superior performance of 95.4% detection accuracy over a variety of vessel patterns; outperforming other techniques by achieving the highest positive predictive value of 94.7%. The proposed Computer-Aided Diagnosis (CAD) framework can serve as a decision support system assisting dermatologists for more accurate diagnosis, especially in teledermatology applications in remote areas.
- Published
- 2017
13. Automatic detection of basal cell carcinoma using vascular-extracted features from dermoscopy images
- Author
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Tim K. Lee, Pegah Kharazmi, Harvey Lui, and Z. Jane Wang
- Subjects
medicine.medical_specialty ,integumentary system ,business.industry ,Feature extraction ,Image segmentation ,medicine.disease ,Thresholding ,030218 nuclear medicine & medical imaging ,Random forest ,Lesion ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Medical imaging ,Medicine ,Computer vision ,Basal cell carcinoma ,Artificial intelligence ,Radiology ,Skin cancer ,medicine.symptom ,business - Abstract
Basal cell carcinoma (BCC) is the most common type of skin cancer. Timely diagnosis of BCC is an important factor in the prognosis of the disease. A key to BCC diagnosis are vascular structures of the lesion. Detection and recognition of cutaneous vasculature provide critical information on diagnosis accuracy and assessment precision. In this paper, we present an effective method to extract vascular information towards lesion diagnosis. Given a dermoscopy image, we first segment vascular structures of the lesion by decomposing the image using independent component analysis into melanin and hemoglobin components and further applying shape filters at different scales. A vessel mask is generated as a result of global thresholding. A set of vascularfeatures are then extractedfrom the final vessel image of the lesion and fed into a Random Forest classifier. The method demonstrates performance of 90.3% in terms of AUC in differentiating BCC from benign lesions.
- Published
- 2016
- Full Text
- View/download PDF
14. Automatic detection and segmentation of vascular structures in dermoscopy images using a novel vesselness measure based on pixel redness and tubularness
- Author
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William V. Stoecker, Tim K. Lee, Pegah Kharazmi, and Harvey Lui
- Subjects
integumentary system ,Pixel ,Computer science ,business.industry ,Human skin ,Image segmentation ,Independent component analysis ,Thresholding ,Euclidean distance ,Melanin ,RGB color model ,Segmentation ,Computer vision ,Artificial intelligence ,Pigmented skin ,business ,Skin lesion - Abstract
Vascular structures are one of the most important features in the diagnosis and assessment of skin disorders. The presence and clinical appearance of vascular structures in skin lesions is a discriminating factor among different skin diseases. In this paper, we address the problem of segmentation of vascular patterns in dermoscopy images. Our proposed method is composed of three parts. First, based on biological properties of human skin, we decompose the skin to melanin and hemoglobin component using independent component analysis of skin color images. The relative quantities and pure color densities of each component were then estimated. Subsequently, we obtain three reference vectors of the mean RGB values for normal skin, pigmented skin and blood vessels from the hemoglobin component by averaging over 100000 pixels of each group outlined by an expert. Based on the Euclidean distance thresholding, we generate a mask image that extracts the red regions of the skin. Finally, Frangi measure was applied to the extracted red areas to segment the tubular structures. Finally, Otsu’s thresholding was applied to segment the vascular structures and get a binary vessel mask image. The algorithm was implemented on a set of 50 dermoscopy images. In order to evaluate the performance of our method, we have artificially extended some of the existing vessels in our dermoscopy data set and evaluated the performance of the algorithm to segment the newly added vessel pixels. A sensitivity of 95% and specificity of 87% were achieved.
- Published
- 2015
- Full Text
- View/download PDF
15. A novel online wave-net based model for motorway traffic modeling
- Author
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Ali Akbar Safavi and Pegah Kharazmi
- Subjects
Artificial neural network ,Computer science ,business.industry ,Principal component analysis ,Approximation algorithm ,Artificial intelligence ,Net (mathematics) ,business ,Machine learning ,computer.software_genre ,computer ,Data modeling - Published
- 2011
- Full Text
- View/download PDF
16. Sensorless speed estimation of AC machines using inphase method
- Author
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Pegah Kharazmi, Mohamamd Khayatian, and Ali Akbar Safavi
- Subjects
Harmonic analysis ,Wavelet ,Control theory ,Electronic engineering ,Short-time Fourier transform ,Wavelet transform ,Harmonic wavelet transform ,Discrete Fourier transform ,Continuous wavelet transform ,Time–frequency analysis ,Mathematics - Published
- 2011
- Full Text
- View/download PDF
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