Blood and Bone Marrow classifier
Matek, C., Krappe, S., Münzenmayer, C., Haferlach, T., & Marr, C. (2021). An Expert-Annotated Dataset of Bone Marrow Cytology in Hematologic Malignancies [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.AXH3-T579
- Prepare your data and add it to specific dir.
- After this do some modifications in ./experiments/5_experiment.ipynb where you can add your path to data
- Run all JupyterNotebook cells (Attention! You need a good GPU to train all models)
- You will get training models and interpreted image examples
- Move your trained models to ./models/ dir (you should create it!).
- Run
docker-compose up
This command runs back-end and front-end containers on specific ports:
- FastAPI back-end endpoints on http://0.0.0.0:8082/docs/
- React front-end on http://0.0.0.0:3000
All code for back-end and front-end are available in appropriate directories.