Analyzing Breast Cancer Detection: A Scopus-driven Study on the Role of Machine Learning and Deep Learning
Pummy Dhiman, Anupam Bonkra, Jasjeet Kaur Sandhu, Amandeep Kaur, Chetna Kaushal · 2023
The common and occasionally fatal condition known as breast cancer affects millions of people worldwide. Early detection and precise diagnosis are essential for enhancing patient health, and their importance cannot be overstated. Machine learning (ML) and deep learning (DL) techniques obligate recently made substantial progress in the identification and diagnosis of breast cancer. This paper gives a thorough review of how ML and DL are used to detect breast cancer. The evaluation of yearly publication trends, citation analysis, prominent sources, and keyword distributions is done using data gathered from Scopus from 2008 through 2023 in order to give future academics insight into this field's research tendencies. The technique emphasizes the dynamic character of research by showing that more recent papers have shorter epochs of influence.