Popular GitHub Repositories for Breast Cancer Prediction

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

Pluralistic Image Completion for Anomaly Detection (Med. Image Anal. 2023)

This project uses mammograms for breast cancer detection using deep learning techniques.

Breast Cancer Prediction using CNN

Add better insight into the use of AutoML for certain datasets, especially Breast Cancer Wisconsin (Diagnostic). In addition, it is expected to provide an understanding of the weaknesses and shortcomings of the selected use of AutoML, namely the Tree-Based Pipeline Optimization Tool (TPOT) for modeling automation.