Goktug Guvercin

Conformable Convolution for Topologically Constrained Learning of Complex Anatomical Structures

While conventional computer vision emphasizes pixel-level and feature-based objectives, medical image analysis of intricate biological structures necessitates explicit representation of their complex topological properties. Despite their successes, deep learning models often struggle to accurately c