Federated Learning Model Using CBDPL for Medical Image Segmentation

Federated learning (FL) allows hospitals and medical centers to train models without sharing patient data. Instead of sending data to a central server, each institution trains the model locally and only shares updates, keeping patient information private. Our study proposes a novel methodology for m...

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Bibliographic Details
Main Authors:	K. Hemalatha, Shradhanjali Das
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Confidence-based dynamic pseudo-labeling federated learning medical image segmentation privacy-preserving framework semi-supervised learning
Online Access:	https://ieeexplore.ieee.org/document/11025474/
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Federated Learning Model Using CBDPL for Medical Image Segmentation

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