BCRBench: A Breast Cancer Risk Benchmark
BCRBench is a unified framework for training and benchmarking deep learning models for breast cancer risk prediction from mammography.
🔬 Key Features
- Multi-view mammography support (e.g., CC, MLO)
- Longitudinal modeling across multiple screening timepoints
- Standardized training and evaluation pipeline
- Modular design for easy integration of new models
📚 Documentation
- Overview – Scope, objectives, and model comparison
- Getting Started – Setup and running experiments
- Datasets – Data formats and preprocessing
- Models – Architecture details and implementations
- Training – Training procedures and configuration
- Evaluation – Metrics and benchmarking
🚀 Quick Start
Follow the Getting Started guide to:
- Set up the environment
- Prepare datasets
- Train and evaluate models
🤝 Contributing
We welcome contributions of new models, datasets, and evaluation methods to extend this benchmark.
📄 License
See repository for licensing details.