63 citations · 73 across the 11 of their papers we have counts for
11 papers
Region Guided Attention Network for Retinal Vessel Segmentation
Syed Javed, Tariq M. Khan, Abdul Qayyum +2
Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the…
MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion
Raktim Kumar Mondol, Ewan K. A. Millar, Arcot Sowmya +1
Survival risk stratification is an important step in clinical decision making for breast cancer management. We propose a novel deep learning approach for this purpose by integratin…
Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning
Sonit Singh, Gordon Stevenson, Brendan Mein +2
Purpose: Ultrasound is the most commonly used medical imaging modality for diagnosis and screening in clinical practice. Due to its safety profile, noninvasive nature and portabili…
Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation
Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +2
Coronary artery diseases are among the leading causes of mortality worldwide. Timely and accurate diagnosis, facilitated by precise coronary artery segmentation, is pivotal in chan…
Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images
Md Akizur Rahman, Sonit Singh, Kuruparan Shanmugalingam +4
Segmentation of the sigmoid colon is a crucial aspect of treating diverticulitis. It enables accurate identification and localisation of inflammation, which in turn helps healthcar…
Visual Question Answering in the Medical Domain
Louisa Canepa, Sonit Singh, Arcot Sowmya
Medical visual question answering (Med-VQA) is a machine learning task that aims to create a system that can answer natural language questions based on given medical images. Althou…