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--- |
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tags: |
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- image-classification |
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- pytorch |
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metrics: |
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- accuracy |
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- Cohen's Kappa |
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model-index: |
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- name: PANDA_ViT |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.47959184646606445 |
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- name: Quadratic Cohen's Kappa |
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type: Quadratic Cohen's Kappa |
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value: 0.5590880513191223 |
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--- |
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# PANDA_ViT |
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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 |
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Example Images (1152,1152,3) 36 WSI patches: |
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ISUP 0: |
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<img width="256" height="256" src="https://huggingface.co/smc/PANDA_ViT/resolve/main/0c02d3bb3a62519b31c63d0301c6843e_0.jpeg"> |
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ISUP 1: |
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<img width="256" height="256" src="https://huggingface.co/smc/PANDA_ViT/resolve/main/0cee71ab57422e04f76e09ef2186fcd5_1.jpeg"> |
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ISUP 2: |
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<img width="256" height="256" src="https://huggingface.co/smc/PANDA_ViT/resolve/main/00bbc1482301d16de3ff63238cfd0b34_2.jpeg"> |
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ISUP 3: |
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<img width="256" height="256" src="https://huggingface.co/smc/PANDA_ViT/resolve/main/0c5c2d16c0f2e399b7be641e7e7f66d9_3.jpeg"> |
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ISUP 4: |
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<img width="256" height="256" src="https://huggingface.co/smc/PANDA_ViT/resolve/main/0c88d7c7033e2048b1068e208b105270_4.jpeg"> |
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ISUP 5: |
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<img width="256" height="256" src="https://huggingface.co/smc/PANDA_ViT/resolve/main/00c15b23b30a5ba061358d9641118904_5.jpeg"> |
