Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date: Sep 28, 2023

Abstract

OBJECTIVE: Mammogram-based automatic breast cancer detection has a primary role in accurate cancer diagnosis and treatment planning to save valuable lives. Mammography is one basic yet efficient test for screening breast cancer. Very few comprehensive surveys have been presented to briefly analyze methods for detecting breast cancer with mammograms. In this article, our objective is to give an overview of recent advancements in machine learning (ML) and deep learning (DL)-based breast cancer detection systems.

Authors

  • Adyasha Sahu
    Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India. Electronic address: adyashasahu8@gmail.com.
  • Pradeep Kumar Das
    School of Electronics Engineering (SENSE), VIT Vellore, Tamil Nadu, 632014, India. Electronic address: pdas391@gmail.com.
  • Sukadev Meher
    Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, 769008, India. Electronic address: smeher@nitrkl.ac.in.

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