104 citations · 254 across the 13 of their papers we have counts for
6 papers · 1 filter
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
Hasib Zunair, A. Ben Hamza
The U-Net architecture, built upon the fully convolutional network, has proven to be effective in biomedical image segmentation. However, U-Net applies skip connections to merge se…
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis
Hasib Zunair, A. Ben Hamza
We introduce a new dataset called Synthetic COVID-19 Chest X-ray Dataset for training machine learning models. The dataset consists of 21,295 synthetic COVID-19 chest X-ray images…
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
Hasib Zunair, A. Ben Hamza
Motivated by the lack of publicly available datasets of chest radiographs of positive patients with Coronavirus disease 2019 (COVID-19), we build the first-of-its-kind open dataset…
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction
Hasib Zunair, Aimon Rahman, Nabeel Mohammed +1
A common approach to medical image analysis on volumetric data uses deep 2D convolutional neural networks (CNNs). This is largely attributed to the challenges imposed by the nature…
Melanoma Detection using Adversarial Training and Deep Transfer Learning
Hasib Zunair, A. Ben Hamza
Skin lesion datasets consist predominantly of normal samples with only a small percentage of abnormal ones, giving rise to the class imbalance problem. Also, skin lesion images are…
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
Aimon Rahman, Hasib Zunair, M Sohel Rahman +5
Malaria is a female anopheles mosquito-bite inflicted life-threatening disease which is considered endemic in many parts of the world. This article focuses on improving malaria det…