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Federated Learning for Breast Cancer AI by Nexgen Technology is a document available to read on EtoBox.

This document proposes a transfer learning approach using federated learning to classify breast cancer in medical images while preserving patient privacy. Key contributions include applying transfer learning to extract features from regions of interest, using SMOTE for data augmentation, and evaluating a FeAvg-CNN + MobileNet model in a federated learning framework. Experimental results on mammography datasets demonstrate improved performance over centralized learning models, with the proposed solution achi

Author

Nexgen Technology

Language

EN