Image classification

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
Challenges of deep learning methods for COVID-19 detection using public datasets
Since the COVID-19 pandemic, several research studies have proposed Deep Learning (DL)-based automated COVID-19 detection, reporting …
Md Kamrul Hasan, Md Ashraful Alam, Lavsen Dahal, Shidhartho Roy, Sifat Redwan Wahid, Md Toufick E Elahi, Robert Martí, Bishesh Khanal
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Challenges of deep learning methods for COVID-19 detection using public datasets
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
Skin Lesion Classification Using Convolutional Neural Network for Melanoma Recognition
Skin cancer, also known as melanoma, is generally diagnosed visually from the dermoscopic images, which is a tedious and timeconsuming …
Aishwariya Dutta, Md Kamrul Hasan, Mohiuddin Ahmad
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Skin Lesion Classification Using Convolutional Neural Network for Melanoma Recognition
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
Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images
Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by the presence of excess immature lymphocytes., Even though …
Chayan Mondal, Md Kamrul Hasan, Mohiuddin Ahmad, Md Abdul Awal, Md Tasnim Jawad, Aishwariya Dutta, Md Rabiul Islam, Mohammad Ali Moni
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Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images
Automatic Mass Classification in Breast Using Transfer Learning of Deep Convolutional Neural Network and Support Vector Machine
Mammography is the most widely used gold standard for screening breast cancer, where mass classification is a prominent step. …
Md. Kamrul Hasan, Tajwar Abrar Aleef, Shidhartho Roy
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Automatic Mass Classification in Breast Using Transfer Learning of Deep Convolutional Neural Network and Support Vector Machine