Implementation of Improved U-Net and Optimized XGBoost-SVM Classifier for Early Detection of Masses and Microcalcifications in Breast
Purpose: In contemporary time, breast cancer has been extensively found among women at a global rate of 24.2% as of 2018.This exposes the significant and imperative need for detecting masses and micro calcifications in the breast to avoid death rates.The existing histopathological images have gained a golden standard considering they would afford r