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:
- b7688172dd32c46cf6c3ceb9fa7860137354eafc79ad0def5bf0b1d799ebe230
- Pointer size:
- 131 Bytes
- Size of remote file:
- 372 kB
- Xet hash:
- dd2767988fde8f5be83a44922be6f4f40a65e3a9b35de8ec4c955676d338be7f
·
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.