Colorectal polyp detection and segmentation represent critical components in the early diagnosis and treatment of colorectal cancer. Recent advances in deep learning have markedly enhanced the ...

Deep learning has emerged as a transformative tool in the detection and segmentation of intracranial haemorrhage, offering substantial improvements in diagnostic accuracy and speed. By utilising ...

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...