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1aurent
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swin_tiny_patch4_window7_224.CTransPath

Feature Extraction
timm
Safetensors
image-classification
biology
cancer
histology
Eval Results
Model card Files Community
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@@ -7,6 +7,163 @@ tags:
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  - cancer
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  - histology
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  library_name: timm
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: gpl-3.0
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  pipeline_tag: feature-extraction
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  inference: false
 
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  - cancer
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  - histology
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  library_name: timm
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+ model-index:
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+ - name: ctranspath
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+ results:
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: Camelyon16[Meta]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 96.3 ± 2.6
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-BRCA[Hist]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 95.8 ± 0.5
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-BRCA[HRD]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 77.1 ± 2.5
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-BRCA[Mol]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 80.8 ± 1.7
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-BRCA[OS]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 65.0 ± 6.0
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-CRC[MSI]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 88.5 ± 2.3
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-COAD[OS]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 64.3 ± 5.4
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-NSCLC[CType]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 97.3 ± 0.4
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-LUAD[OS]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 59.1 ± 4.5
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-LUSC[OS]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 61.5 ± 2.9
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-OV[HRD]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 69.5 ± 7.0
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-RCC[CType]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 98.9 ± 0.2
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-STAD[MSI]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 83.2 ± 8.1
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+ name: ROC AUC
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+ verified: false
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+ - task:
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+ type: image-classification
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+ name: Image Classification
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+ dataset:
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+ name: TCGA-PAAD[OS]
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+ type: image-classification
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+ metrics:
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+ - type: accuracy
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+ value: 59.0 ± 4.2
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+ name: ROC AUC
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+ verified: false
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  license: gpl-3.0
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  pipeline_tag: feature-extraction
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  inference: false