A comprehensive review of machine learning and deep learning techniques for intraclass variability breast cancer recognition

A comprehensive review of machine learning and deep learning techniques for intraclass variability breast cancer recognition

Breast cancer remains one of the leading causes of death among women worldwide, highlighting the need for early and accurate detection. Recent advancements in AI-driven techniques, particularly Machine Learning (ML) learning and Deep Learning (DL), have significantly improved breast cancer diagnosti...

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Bibliographic Details
Main Authors: Kashif Khan, Suryanti Awang, Mohammed Ahmed Talab, Hasan Kahtan
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Franklin Open
Subjects:
Intraclass variance
Breast cancer classification
Deep learning
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325000854
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