#Breast-cancer
Showing 5 of 5 repositories tagged #breast-cancer, ranked by stars
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
1st place solution of RSNA Screening Mammography Breast Cancer Detection competition on Kaggle: https://www.kaggle.com/competitions/rsna-breast-cancer-detection
This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
3D-GMIC: an efficient deep neural network to find small objects in large 3D images
๐ฉบ Advanced neural network for breast cancer classification using Wisconsin dataset. Analyzes cell nucleus characteristics from FNA samples to distinguish malignant/benign masses with 96.5% accuracy. Features comprehensive documentation, automated setup, testing framework, and deployment guides. Educational ML project with 15,000+ lines of docs.