This notebook presents CADexBreastCancer_CherubiumWTTU, a computer-aided detection and diagnosis (CADe/x) system for breast cancer based on image analysis and machine learning using the Wolfram Language. It explores the use of automated tools to assist in the classification of medical images, focusing on distinguishing between cancerous and non-cancerous cases. The notebook includes data processing, model implementation, and an interactive interface for testing predictions.

This work was developed as part of the Wolfram Texas Tech University Hackathon 2025, where our team investigated the application of artificial intelligence and computational tools to help on healthcare challenges.

Readers are invited to download the notebook directly from this post to explore the full implementation, interact with the interface, and examine the methodology in detail!