metadata
tags:
- image-classification
- pytorch
metrics:
- accuracy
- Cohen's Kappa
model-index:
- name: PANDA_ViT
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.47959184646606445
- name: Quadratic Cohen's Kappa
type: Quadratic Cohen's Kappa
value: 0.5590880513191223
PANDA_ViT
An attempt to use a ViT for medical image classification (ISUP grading in prostate histopathology images). Currently uses a tiled and concatenated WSI as input
Example Images (1152,1152,3) 36 WSI patches:
ISUP 0:
ISUP 1:
ISUP 2:
ISUP 3:
ISUP 4:
ISUP 5:
