Textural Analysis for Breast Cancer from Feature Dataset using CNN

In practically every area of life, deep learning algorithms have accelerated the development of new technology. As a result, its application is also used in the field of medical imaging. One of the worst illnesses in the contemporary era can be treated earlier by creating a tool that detects breast cancer through textural analysis utilizing neural network-based deep learning. The automation of the textural analysis for the identification of malignant tumors is ensured by using CNN. The dataset utilized for the Deep Learning Model's comprehensive training is made available to the public by the University of Wisconsin and contains 569 occurrences