Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
histopathology
computational-pathology
survival-analysis
multiple-instance-learning
hypergraph-learning
graph-learning
| { | |
| "schema_version": 1, | |
| "repository": "shannonhill/HyperMIL-data", | |
| "cohorts": [ | |
| "STAD", | |
| "THCA", | |
| "CHOL", | |
| "LIHC" | |
| ], | |
| "files": 12096, | |
| "bytes": 142866662028, | |
| "manifest_sha256": "8a4f0c6c3b659c45f204b7ccd0d72716f84bd5dc10219f4eabd5eb3d6437d6f8", | |
| "patient_folds_sha256": "74bc002f17453ea60d27697bf1d722dec6a387301aa9595fbb58dfe7a6591dab", | |
| "format": "Original NumPy arrays and losslessly compacted graph inputs; shared patch features stored once." | |
| } | |