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---
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 Image (1152,1152,3) 36 WSI patches: <img width="500" height="500" src="https://huggingface.co/smc/PANDA_ViT/resolve/main/00bbc1482301d16de3ff63238cfd0b34_2.jpeg">
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