2 papers
cs.CV2025
A Physics-Informed Loss Function for Boundary-Consistent and Robust Artery Segmentation in DSA Sequences
Muhammad Irfan, Nasir Rahim, Khalid Mahmood Malik
Accurate extraction and segmentation of the cerebral arteries from digital subtraction angiography (DSA) sequences is essential for developing reliable clinical management models o…
cs.CV2025
FocusSDF: Boundary-Aware Learning for Medical Image Segmentation via Signed Distance Supervision
Muzammal Shafique, Nasir Rahim, Jamil Ahmad +3
Segmentation of medical images constitutes an essential component of medical image analysis, providing the foundation for precise diagnosis and efficient therapeutic interventions…