Deep learning approaches for breast cancer detection in histopathology images: A review.

Journal: Cancer biomarkers : section A of Disease markers

Published Date: Jan 1, 2024

Abstract

BACKGROUND: Breast cancer is one of the leading causes of death in women worldwide. Histopathology analysis of breast tissue is an essential tool for diagnosing and staging breast cancer. In recent years, there has been a significant increase in research exploring the use of deep-learning approaches for breast cancer detection from histopathology images.

Authors

Lakshmi Priya C V

Department of Electronics and Communication Engineering, College of Engineering Trivandrum, Kerala, India.
Biju V G

Department of Electronics and Communication Engineering, College of Engineering Munnar, Kerala, India.
Vinod B R

Department of Electronics and Communication Engineering, College of Engineering Trivandrum, Kerala, India.
Sivakumar Ramachandran

Department of Electronics and Communication Engineering, Government Engineering College Wayanad, Kerala, India.

Keywords

Algorithms Breast Neoplasms Deep Learning Female Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted

External Resources

View on PubMed Access via DOI PubMed (38517775)

Deep learning approaches for breast cancer detection in histopathology images: A review.

Abstract

Authors

Keywords

External Resources

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