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Your search keyword '"ISLAM, RAFIQUL"' showing total 12 results
Start Over Author "ISLAM, RAFIQUL" Topic deep learning
12 results on '"ISLAM, RAFIQUL"'

2. ContourTL-Net: Contour-Based Transfer Learning Algorithm for Early-Stage Brain Tumor Detection.

Author

Md. Ashafuddula, N. I. and Islam, Rafiqul

Subjects
*PREDICTIVE tests, *PREDICTION models, *DIAGNOSTIC imaging, *EARLY detection of cancer, *PROBABILITY theory, *DEEP learning, *ARTIFICIAL neural networks, *DIGITAL image processing, *ALGORITHMS, BRAIN tumor diagnosis
Abstract

Brain tumors are critical neurological ailments caused by uncontrolled cell growth in the brain or skull, often leading to death. An increasing patient longevity rate requires prompt detection; however, the complexities of brain tissue make early diagnosis challenging. Hence, automated tools are necessary to aid healthcare professionals. This study is particularly aimed at improving the efficacy of computerized brain tumor detection in a clinical setting through a deep learning model. Hence, a novel thresholding-based MRI image segmentation approach with a transfer learning model based on contour (ContourTL-Net) is suggested to facilitate the clinical detection of brain malignancies at an initial phase. The model utilizes contour-based analysis, which is critical for object detection, precise segmentation, and capturing subtle variations in tumor morphology. The model employs a VGG-16 architecture priorly trained on the "ImageNet" collection for feature extraction and categorization. The model is designed to utilize its ten nontrainable and three trainable convolutional layers and three dropout layers. The proposed ContourTL-Net model is evaluated on two benchmark datasets in four ways, among which an unseen case is considered as the clinical aspect. Validating a deep learning model on unseen data is crucial to determine the model's generalization capability, domain adaptation, robustness, and real-world applicability. Here, the presented model's outcomes demonstrate a highly accurate classification of the unseen data, achieving a perfect sensitivity and negative predictive value (NPV) of 100%, 98.60% specificity, 99.12% precision, 99.56% F 1 -score, and 99.46% accuracy. Additionally, the outcomes of the suggested model are compared with state-of-the-art methodologies to further enhance its effectiveness. The proposed solution outperforms the existing solutions in both seen and unseen data, with the potential to significantly improve brain tumor detection efficiency and accuracy, leading to earlier diagnoses and improved patient outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Compressed Sensing in Parallel MRI: A Review.

Author

Islam, Rafiqul, Islam, Md Shafiqul, and Uddin, Muhammad Shahin

Subjects
*COMPRESSED sensing, *MAGNETIC resonance imaging, *DIAGNOSTIC imaging, *IMAGE reconstruction, *PHASE coding
Abstract

Magnetic resonance imaging (MRI) is a dynamic and safe imaging technique in medical imaging. Recently, parallel MRI (pMRI) is widely used for accelerating conventional MRI. Both frequency and image domain-based reconstructions are the most attractive methods for generating the image from multi-channel k-space data. Compressed sensing (CS) is a recently used procedure to reduce the acquisition time of conventional MRI. This reduction is achieved by taking fewer measurements from the fully sampled k-space data. Therefore, applying the CS technique in pMRI is the most emerging way for further improving the acquisition time that is a tremendous research interest. However, as the phase encoding plane may be perpendicular or parallel to the coil elements plane, finding the exact domain for CS in pMRI reconstruction is a major challenging issue. In this work, the application of the CS technique in pMRI in both domains is investigated. Later some widely used methodologies are presented as the nonlinear reconstruction algorithm of CS in pMRI. Finally, a discussion is performed based on CS in pMRI to perceive the reality of different reconstruction algorithms at a glance for finding preferred methodologies. [ABSTRACT FROM AUTHOR]

Published
2022
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4. English Translation Model Design Based on Neural Network

Author

Liu, Xiangrong, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2020
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5. Design of Improved Deep Convolution Network Model

Author

Xu, Hongsheng, Wang, Lan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abawajy, Jemal H., editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2020
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6. Classification of Neurons Based on Deep Learning and Feature of Image Gray Symbiosis Matrix

Author

Chen, Tao, Liu, Wenbin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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7. A Survey of Multi-object Video Tracking Algorithms

Author

Zhou, Shuren, Ke, Maolin, Qiu, Jia, Wang, Jin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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8. An Improved Person Reidentification Method by Selective Convolutional Descriptor Aggregation

Author

Zhou, Shuren, Ke, Maolin, Luo, Peng, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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9. An Overview of Image-Based Person Re-identification

Author

Zhou, Shuren, Ke, Maolin, Luo, Peng, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, Islam, Rafiqul, editor, Xu, Zheng, editor, and Atiquzzaman, Mohammed, editor

Published
2019
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10. A Vehicle Model Data Classification Algorithm Based on Hierarchy Clustering

Author

Zhao, Yixin, Shao, Jie, Li, Dianbo, Mei, Lin, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, and Islam, Rafiqul, editor

Published
2018
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11. Multiple-Step Model Training for Face Recognition

Author

Li, Dianbo, Zhang, Xiaoteng, Song, Lei, Zhao, Yixin, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, and Islam, Rafiqul, editor

Published
2018
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12. Word Vector Computation Based on Implicit Expression

Author

Wang, Xinzhi, Zhang, Hui, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Abawajy, Jemal, editor, Choo, Kim-Kwang Raymond, editor, and Islam, Rafiqul, editor

Published
2018
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