This project developed a full-stack diagnostic model for renal cell carcinoma, including four tasks: tissue detection, subtype prediction, auto-grading and prognostication. It is completed based on the features extracted by Prov-GigaPath combined with the abmil architecture.
Here just the pre-trained model weights. For the full implementation, please visit our official GitHub repository. GitHub:
https://github.com/Green8023/full-stackRENAL