Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images

Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images

Abstract The most common carcinoma-related cause of death among women is breast cancer. Early detection is crucial, and the manual screening method may lead to a delayed diagnosis, which would delay treatment and put lives at risk. Mammography imaging is advised for routine screening to diagnose bre...

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Bibliographic Details
Main Authors: Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Federated learning (FedL)
YOLOv6
Breast cancer
Transfer learning
ResNet-50
Inception-V3
Online Access:https://doi.org/10.1038/s41598-024-80187-7
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