Image segmentation

A survey, review, and future trends of skin lesion segmentation and classification
The Computer-aided Diagnosis (CAD) system for skin lesion analysis is an emerging field of research that has the potential to relieve …
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, Guang Yang
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A survey, review, and future trends of skin lesion segmentation and classification
DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
Background and Objective: Although automated Skin Lesion Classification (SLC) is a crucial integral step in computer-aided diagnosis, …
Md Kamrul Hasan, Md Toufick E Elahi, Md Ashraful Alam, Md Tasnim Jawad, Robert Martí
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DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity are …
Md Kamrul Hasan, Md Tasnim Jawad, Kazi Nasim Imtiaz Hasan, Sajal Basak Partha, Md Masum Al Masba, Shumit Saha, Mohammad Ali Moni
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COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders
This article proposes an end-to-end deep CNN-based framework for simultaneous detection and recognition of skin lesions, Dermo-DOCTOR, …
Md Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md Ashraful Alam, Md Toufick E Elahi, Aishwariya Dutta, S. M. Taslim Uddin Raju, Md Tasnim Jawad, Mohiuddin Ahmad
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Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders
Multi-Class Probabilistic Atlas-Based Whole Heart Segmentation Method in Cardiac CT and MRI
Accurate and robust whole heart substructure segmentation is crucial in developing clinical applications, such as computer-aided …
Tarun Kanti Ghosh, Md Kamrul Hasan, Shidhartho Roy, Md Ashraful Alam, Eklas Hossian, Mohiuddin Ahmad
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Multi-Class Probabilistic Atlas-Based Whole Heart Segmentation Method in Cardiac CT and MRI
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry
Surgical tool detection, segmentation, and 3D pose estimation are crucial components in Computer-Assisted Laparoscopy (CAL). The …
Md Kamrul Hasan, Lilian Calvet, Navid Rabbani, Adrien Bartoli
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Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image
This article introduces a novel end-to-end encoder-decoder network, DRNet, explicitly designed for the segmentation and localization of …
Md. Kamrul Hasan, Md Ashraful Alam, Md Toufick E Elahi, Shidhartho Roy, Robert Martí
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DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image
DSNet: Automatic dermoscopic skin lesion segmentation
Automatic segmentation of skin lesions is considered a crucial step in Computer-aided Diagnosis (CAD) systems for melanoma detection. …
Md Kamrul Hasan, Lavsen Dahal, Prasad N. Samarakoon, Fakrul Islam Tushar, Robert Martí
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DSNet: Automatic dermoscopic skin lesion segmentation
Brain tissue segmentation using NeuroNet with different pre-processing techniques
Automatic segmentation of brain magnetic resonance imaging (MRI) images is one of the vital steps for quantitative analysis of the …
Fakrul Islam Tushar, Basel Alyafi, Md. Kamrul Hasan, Lavsen Dahal
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Brain tissue segmentation using NeuroNet with different pre-processing techniques