Comprehensive Study for Breast Cancer Using Deep Learning and Traditional Machine Learning

Breast cancer is one of the most dangerous diseases and second largest cause women death. Techniques methods have been adopted for early indications disease signs as it’s only effective way managing breast in women. This review explores techniques used Computer-Aided Diagnosis (CAD) using image analysis, deep learning traditional machine learning. It primarily gives an introduction to various strategies learning, followed by explanation particular architectures detection their classification. After review, researcher recommended need inclusion because it performs multi-functions enabling medical diagnosis. Also, important involve integration more than improve process diagnostic imaging benefits limitations, recent advancements development are discussed reviewing existing secondary sources. study reviews papers published from 2015 (early publications on cancer) 2021. paper a latest works done field with future trends problems categorization REFERENCE: AHMED, L., IQBAL, M. 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