R. J. Al-Sukeinee

Development of an Explainable Deep Learning Model Based on Morphological Component Analysis (MCA) for Breast Cancer Detection in Ultrasound Images

A deep learning model for breast ultrasound image analysis to improve lesion segmentation and support computer-aided breast cancer diagnosis and integrates morphological component analysis, convolutional learning, and explainable artificial intelligence into a unified model for breast ultrasound lesion segmentation.