Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images

Chapter 9: Scrutinization of mammogram images using deep learning

S.R. Reeja¹, Tulasi Thotakura¹, and Ishfaq Yaseen^2     1VIT-AP University, Amaravati, Andhra Pradesh, India     ²Prince Sattam Bin Abdul Aziz University, Al-Kharj, Saudi Arabia

Abstract

Progressive steps were taken by the deep learning model in a multitude of implementations. The main source of interest is the convolutional neural network (CNN), which is regarded as a prominent potent method for discovering incentive of images and other semantic information. Datasets include images taken using a innumerable imaging modalities, including MRIs, scans—CT and PET (Positron Emission Tomography), X-rays, ultrasounds, fluorescein angiography, and even photographs. This study examines several ...