FUSION: Uncertainty‐Guided Federated Semi‐Supervised Learning for Medical Image Segmentation

Federated learning (FL) for medical image segmentation poses critical challenges, including non‐IID data distributions, limited access to labelled annotations, and stringent privacy constraints across institutions. To address these, we propose FUSION (Federated Unified Semi‐Supervised Optimisation N...

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Bibliographic Details
Published in:IET image processing Vol. 19; no. 1
Main Authors: Raheem, Abdul, Yang, Zhen, Yu, Haiyang, Manan, Malik Abdul, Sabah, Fahad, Ahmed, Shahzad
Format: Journal Article
Language:English
Published: 01.01.2025
ISSN:1751-9659, 1751-9667
Online Access:Get full text
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