Augmented reality aid in diagnostic assistance for breast cancer detection

Breast cancer is a significant public health concern with over 2.2 million cases reported in 2022 by the World Health Organization. Computer-aided detection (CAD) systems that use machine learning (ML) have become a crucial tool in assisting clinicians with breast cancer diagnostics. Our proposal offers an augmented reality (AR) system that allows surgeons to visualize cancer tumors in a cost-effective manner. The approach involves noise suppression using a Median filter, Top-Hat transform for blocking clear spots, and segmentation of active geometric contour models based on speckle (plane set) image. The pro-posed approach was validated experimentally, with a sensitivity of 90