Feature Extraction
PyTorch
English
moozy
pathology
computational-pathology
digital-pathology
foundation-model
whole-slide-image
vision-transformer
self-supervised-learning
slide-encoder
case-encoder
histopathology
medical-imaging
multiple-instance-learning
slide-level-representation
patient-level-representation
multi-task-learning
survival-analysis
cancer
oncology
tissue-classification
mutation-prediction
TCGA
CPTAC
transformer
Eval Results (legacy)
- SHA256:
- 76bec8a2e4f51c5a505238733f01ef4f24f4a411759e2be7d624e4124fd52f5a
- Pointer size:
- 134 Bytes
- Size of remote file:
- 256 MB
- Xet hash:
- eeb919b5d18044d248c9f605c52c9b8d0c892eb268b24053158ffcc0dbbabbdb
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