Enhancing breast cancer detection accuracy through machine learning, deep learning and transfer learning techniques for clinical practice

Abstract Breast cancer is a pervasive global health concern, impacting millions of women worldwide. Timely detection and precise diagnosis are pivotal factors in improving patient outcomes. This review presents a comprehensive analysis of machine learning (ML), deep learning (DL), and transfer learn...

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Detalhes bibliográficos

Principais autores:	Jothi Ganesan, Vaanpriya Krishnan, Thirumalaisamy Rathinavel, K. S. Shalini, Thangaswamy Selvankumar, M. Gomathi, Shanmugavel Uma Maheswari, Kalandar Ameer
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2025-12-01
coleção:	Discover Artificial Intelligence
Assuntos:	Algorithm Machine learning Breast cancer Deep learning Transfer learning Prognosis
Acesso em linha:	https://doi.org/10.1007/s44163-025-00649-3
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