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Optimizing Feature Selection for XAI in Breast Cancer Detection by alandurakitic123 is a document available to read on EtoBox.

This document presents a project focused on optimizing feature selection in a modified LIME framework for explainable ultrasound-based breast cancer detection using a hybrid metaheuristic algorithm. The research aims to enhance the interpretability and reliability of AI decisions in medical diagnostics, particularly in radiology, by integrating Differential Evolution and Grey Wolf Optimization techniques. The ultimate goal is to develop a mobile application that aids in cancer detection while providing clea

Author

alandurakitic123

Language

EN