FedBound a boundary aware optimization strategy for federated medical image segmentation under non IID data
Abstract Medical image segmentation is essential for computer-aided diagnosis and treatment planning. Privacy constraints impede centralized training using medical images from diverse healthcare organizations. Federated learning (FL) is developed to facilitate collaborative model training without sharing patient inform...
Divyansh Pandey, Aaryan Gupta, Varun Tiwari et al.
· Discover Computing · 0 citations