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CNN Federated Learning for Breast Cancer Diagnosis by fatema.tuj.jahura is a document available to read on EtoBox.

What is CNN Federated Learning for Breast Cancer Diagnosis about?

The document proposes integrating CNN and federated learning to diagnose breast cancer from ultrasound images while addressing challenges of centralizing sensitive medical data. It describes using CNNs to analyze image features and federated learning for collaborative modeling across decentralized data sources. The methodology outlines dataset handling, model training, and result analysis to enhance diagnostic accuracy through the combined approach.

Author

fatema.tuj.jahura

Language

EN