63 citations · 135 across the 25 of their papers we have counts for
9 papers · 1 filter
LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery Identification
Shisheng Zhang, Ramtin Gharleghi, Sonit Singh +4
Coronary artery disease (CAD) remains the leading cause of death globally, with computed tomography coronary angiography (CTCA) serving as a key diagnostic tool. However, coronary…
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology
Raktim Kumar Mondol, Ewan K. A. Millar, Peter H. Graham +3
Explainable AI (XAI) in medical histopathology is essential for enhancing the interpretability and clinical trustworthiness of deep learning models in cancer diagnosis. However, th…
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
Syed Javed, Tariq M. Khan, Abdul Qayyum +3
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis. While deep learning techniques excel at thi…
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…
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
Hongyan Xu, Dadong Wang, Arcot Sowmya
Coronavirus Disease 2019 (COVID-19) has spread globally and become a health crisis faced by humanity since first reported. Radiology imaging technologies such as computer tomograph…
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning
Sankaran Iyer, Alan Blair, Laughlin Dawes +3
Computer aided diagnostics often requires analysis of a region of interest (ROI) within a radiology scan, and the ROI may be an organ or a suborgan. Although deep learning algorith…
Brain tumour segmentation using cascaded 3D densely-connected U-net
Mina Ghaffari, Arcot Sowmya, Ruth Oliver
Accurate brain tumour segmentation is a crucial step towards improving disease diagnosis and proper treatment planning. In this paper, we propose a deep-learning based method to se…