Deep Learning Advancements in Breast Cancer Lesion Detection Using U-Net Methodologies

Abstract

The Breast cancer remains a critical global health concern, involves advanced diagnostic tools for early detection of breast cancer and advanced scanning methodologies helps doctors, medical practioners for easy diagnotistics and to improve patient health. This research explores the application of deep learning methodologies, specifically focusing on the U-Net architecture, to enhance the accuracy and efficiency of breast cancer lesion detection