Federated Learning Model Using CBDPL for Medical Image Segmentation

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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https://ieeexplore.ieee.org/document/11025474/

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