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27 results on '"Dziubich, Tomasz"'

2. ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification

Author

Cychnerski, Jan, Dziubich, Tomasz, and Brzeski, Adam

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The article presents a new multi-label comprehensive image dataset from flexible endoscopy, colonoscopy and capsule endoscopy, named ERS. The collection has been labeled according to the full medical specification of 'Minimum Standard Terminology 3.0' (MST 3.0), describing all possible findings in the gastrointestinal tract (104 possible labels), extended with an additional 19 labels useful in common machine learning applications. The dataset contains around 6000 precisely and 115,000 approximately labeled frames from endoscopy videos, 3600 precise and 22,600 approximate segmentation masks, and 1.23 million unlabeled frames from flexible and capsule endoscopy videos. The labeled data cover almost entirely the MST 3.0 standard. The data came from 1520 videos of 1135 patients. Additionally, this paper proposes and describes four exemplary experiments in gastrointestinal image classification task performed using the created dataset. The obtained results indicate the high usefulness and flexibility of the dataset in training and testing machine learning algorithms in the field of endoscopic data analysis.

Published
2022

3. Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation

Author

Kwiatkowski, Dominik, Dziubich, Tomasz, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abelló, Alberto, editor, Vassiliadis, Panos, editor, Romero, Oscar, editor, Wrembel, Robert, editor, Bugiotti, Francesca, editor, Gamper, Johann, editor, Vargas Solar, Genoveva, editor, and Zumpano, Ester, editor

Published
2023
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5. Process of Medical Dataset Construction for Machine Learning - Multifield Study and Guidelines

Author

Cychnerski, Jan, Dziubich, Tomasz, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bellatreche, Ladjel, editor, Dumas, Marlon, editor, Karras, Panagiotis, editor, Matulevičius, Raimundas, editor, Awad, Ahmed, editor, Weidlich, Matthias, editor, Ivanović, Mirjana, editor, and Hartig, Olaf, editor

Published
2021
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6. Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations

Author

Cychnerski, Jan, Dziubich, Tomasz, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bellatreche, Ladjel, editor, Dumas, Marlon, editor, Karras, Panagiotis, editor, Matulevičius, Raimundas, editor, Awad, Ahmed, editor, Weidlich, Matthias, editor, Ivanović, Mirjana, editor, and Hartig, Olaf, editor

Published
2021
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8. Abdominal Aortic Aneurysm Segmentation from Contrast-Enhanced Computed Tomography Angiography Using Deep Convolutional Networks

Author

Dziubich, Tomasz, Białas, Paweł, Znaniecki, Łukasz, Halman, Joanna, Brzeziński, Jakub, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bellatreche, Ladjel, editor, Bieliková, Mária, editor, Boussaïd, Omar, editor, Catania, Barbara, editor, Darmont, Jérôme, editor, Demidova, Elena, editor, Duchateau, Fabien, editor, Hall, Mark, editor, Merčun, Tanja, editor, Novikov, Boris, editor, Papatheodorou, Christos, editor, Risse, Thomas, editor, Romero, Oscar, editor, Sautot, Lucile, editor, Talens, Guilaine, editor, Wrembel, Robert, editor, and Žumer, Maja, editor

Published
2020
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9. Automated Classifier Development Process for Recognizing Book Pages from Video Frames

Author

Brzeski, Adam, Cychnerski, Jan, Draszawka, Karol, Dziubich, Krystyna, Dziubich, Tomasz, Korłub, Waldemar, Rościszewski, Paweł, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bellatreche, Ladjel, editor, Bieliková, Mária, editor, Boussaïd, Omar, editor, Catania, Barbara, editor, Darmont, Jérôme, editor, Demidova, Elena, editor, Duchateau, Fabien, editor, Hall, Mark, editor, Merčun, Tanja, editor, Novikov, Boris, editor, Papatheodorou, Christos, editor, Risse, Thomas, editor, Romero, Oscar, editor, Sautot, Lucile, editor, Talens, Guilaine, editor, Wrembel, Robert, editor, and Žumer, Maja, editor

Published
2020
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15. Towards Healthcare Cloud Computing

Author

Dorożyński, Piotr, Brzeski, Adam, Cychnerski, Jan, Dziubich, Tomasz, Kacprzyk, Janusz, Series editor, Świątek, Jerzy, editor, Borzemski, Leszek, editor, Grzech, Adam, editor, and Wilimowska, Zofia, editor

Published
2016
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17. Depth Images Filtering In Distributed Streaming

Author

Dziubich Tomasz, Szymański Julian, Brzeski Adam, Cychnerski Jan, and Korłub Waldemar

Subjects
point cloud processing, distributed system, parallel processing, depth image filtering, Naval architecture. Shipbuilding. Marine engineering, VM1-989
Abstract

In this paper, we propose a distributed system for point cloud processing and transferring them via computer network regarding to effectiveness-related requirements. We discuss the comparison of point cloud filters focusing on their usage for streaming optimization. For the filtering step of the stream pipeline processing we evaluate four filters: Voxel Grid, Radial Outliner Remover, Statistical Outlier Removal and Pass Through. For each of the filters we perform a series of tests for evaluating the impact on the point cloud size and transmitting frequency (analysed for various fps ratio). We present results of the optimization process used for point cloud consolidation in a distributed environment. We describe the processing of the point clouds before and after the transmission. Pre- and post-processing allow the user to send the cloud via network without any delays. The proposed pre-processing compression of the cloud and the post-processing reconstruction of it are focused on assuring that the end-user application obtains the cloud with a given precision.

Published
2016
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25. Konstrukcja bazy danych dla systemu wspomagania diagnostyki chorób przewodu pokarmowego

Author

Cychnerski, Jan, Brzeski, Adam, Blokus, Adam, Dziubich, Tomasz, and Jędrzejewski, Mateusz

Subjects
baza danych medycznych, endoskopia kapsułkowa, rozpoznawanie obrazów
Abstract

W artykule krótko przedstawiono charakterystykę procesu diagnostyki chorób przewodu pokarmowego oraz istniejące techniki wspomagania go na bazie analizy zdjęć z badań endoskopowych. Szczegółowo opisano proces tworzenia specjalistycznej bazy danych medycznych, której przeznaczeniem jest wspomaganie procesu uczenia klasyfikatorów chorób przewodu pokarmowego. Na koniec przedstawiono zebrane w bazie dane oraz uzyskane efekty., Studia Informatica, Vol 33, No 2B (2012)

Published
2012
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