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cs.CV2025

YOLO11-4K: An Efficient Architecture for Real-Time Small Object Detection in 4K Panoramic Images

Huma Hafeez, Matthew Garratt, Jo Plested +2

The processing of omnidirectional 360-degree images poses significant challenges for object detection due to inherent spatial distortions, wide fields of view, and ultra-high-resol…

cs.CV2025

Predicting Coronary Artery Calcium Severity based on Non-Contrast Cardiac CT images using Deep Learning

Lachlan Nguyen, Aidan Cousins, Arcot Sowmya +2

Cardiovascular disease causes high rates of mortality worldwide. Coronary artery calcium (CAC) scoring is a powerful tool to stratify the risk of atherosclerotic cardiovascular dis…

cs.CV2025

GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations

Ryan Anthony Jalova de Belen, Gelareh Mohammadi, Arcot Sowmya

Gaze communication plays a crucial role in daily social interactions. Quantifying this behavior can help in human-computer interaction and digital phenotyping. While end-to-end mod…

cs.CV2024

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…

cs.CV2024

BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion

Raktim Kumar Mondol, Ewan K. A. Millar, Arcot Sowmya +1

Breast cancer is a significant health concern affecting millions of women worldwide. Accurate survival risk stratification plays a crucial role in guiding personalised treatment de…

cs.CV2024

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…