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)
| task_type: classification | |
| organ: uterus, nos | |
| sample_col: case_id | |
| label_dict: | |
| 0: wildtype | |
| 1: mutant | |