3 papers
cs.CV2026
AdaKAN: A dual-branch adaptive Kolmogorov-Arnold network for medical image segmentation
Dalia Alzu'bi, Deep Bhattacharyya, Ali Ayub +1
Medical image segmentation is a fundamental task in computer-aided diagnosis, yet it remains challenging due to the complexity of anatomical structures and the variability across i…
cs.CV2026
A hybrid Kolmogorov-Arnold network for medical image segmentation
Deep Bhattacharyya, Ali Ayub, A. Ben Hamza
Medical image segmentation plays a vital role in diagnosis and treatment planning, but remains challenging due to the inherent complexity and variability of medical images, especia…
cs.CV2025
Bridging spatial awareness and global context in medical image segmentation
Dalia Alzu'bi, A. Ben Hamza
Medical image segmentation is a fundamental task in computer-aided diagnosis, requiring models that balance segmentation accuracy and computational efficiency. However, existing se…