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)
File size: 336 Bytes
0fb6da7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | task_type: survival
organ: stomach
sample_col: case_id
task_col: OS
event_col: OS_event
time_col: OS_days
label_dict:
0: Quartile 1, Event 0
1: Quartile 2, Event 0
2: Quartile 3, Event 0
3: Quartile 4, Event 0
4: Quartile 1, Event 1
5: Quartile 2, Event 1
6: Quartile 3, Event 1
7: Quartile 4, Event 1
metrics:
- cindex
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