Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection

Breast cancer has become the second leading cause of death among women worldwide. In India, a woman is diagnosed with breast every four minutes. There been no known basis behind it, and detection extremely challenging medical scientists researchers due to unknown reasons. ratio being identified in urban areas 22:1. Symptoms for this disease are micro calcification, lumps, masses mammogram images. These sources mostly used early detection. Digital mammography study, we introduce new hybrid wavelet filter accurate image enhancement. The main objective enhancement produce quality images detecting sections Image step where input improved detect masses. use combination two filters, namely, Gabor Legendre. edges detected using Canny detector smoothen High-quality enhanced obtained through Gabor–Legendre (GLFIL) process. Further by classification algorithm. Animal migration optimization neural network implemented classifying image. output compared existing techniques. Ultimately, accuracy achieved proposed technique 98%, which higher than algorithms.