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Classification of Breast Cancer Using Transfer Learning and Advanced Al-Biruni Earth Radius Optimization by naveed afroz is a document available to read on EtoBox.

This article presents a novel framework for breast cancer classification using transfer learning and an Advanced Al-Biruni Earth Radius optimization algorithm, achieving an average classification accuracy of 97.95%. The proposed methodology addresses challenges in mammography image analysis, such as overlapping regions and irrelevant features, by employing deep learning techniques and statistical analysis to validate its effectiveness. The study highlights the importance of early detection in reducing breas

Author

naveed afroz

Language

EN