Chapter 13: Classification of breast cancer histopathological images based on shape and texture attributes with ensemble machine learning methods

Vijayalakshmi G.V. Mahesh     Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, Karnataka, India

Abstract

Breast cancer, being the most common and the second leading cause of death in women, needs to be detected at the early stage to improve the survival rate. Timely detection of cancer is very important with regular checks and screening. The use of imaging tests/biomarkers and analysis helps clinical experts to identify breast cancer further. The utilization of histopathological images that provides microscopic details and features of breast ...

Get Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.