Update README.md
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README.md
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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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| 10 |
license: gpl-3.0
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pipeline_tag: feature-extraction
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inference: false
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| 7 |
- cancer
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| 8 |
- histology
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library_name: timm
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| 10 |
+
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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| 55 |
+
name: ROC AUC
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| 56 |
+
verified: false
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| 57 |
+
- task:
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+
type: image-classification
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+
name: Image Classification
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+
dataset:
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| 61 |
+
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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| 68 |
+
- 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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| 101 |
+
- 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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| 111 |
+
verified: false
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| 112 |
+
- task:
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+
type: image-classification
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+
name: Image Classification
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| 115 |
+
dataset:
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name: TCGA-LUSC[OS]
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| 117 |
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type: image-classification
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| 118 |
+
metrics:
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| 119 |
+
- type: accuracy
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+
value: 61.5 ± 2.9
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| 121 |
+
name: ROC AUC
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| 122 |
+
verified: false
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| 123 |
+
- task:
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| 124 |
+
type: image-classification
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| 125 |
+
name: Image Classification
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| 126 |
+
dataset:
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| 127 |
+
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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| 132 |
+
name: ROC AUC
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| 133 |
+
verified: false
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| 134 |
+
- task:
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| 135 |
+
type: image-classification
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| 136 |
+
name: Image Classification
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| 137 |
+
dataset:
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| 138 |
+
name: TCGA-RCC[CType]
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| 139 |
+
type: image-classification
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+
metrics:
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| 141 |
+
- type: accuracy
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| 142 |
+
value: 98.9 ± 0.2
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| 143 |
+
name: ROC AUC
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| 144 |
+
verified: false
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| 145 |
+
- task:
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| 146 |
+
type: image-classification
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| 147 |
+
name: Image Classification
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| 148 |
+
dataset:
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| 149 |
+
name: TCGA-STAD[MSI]
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| 150 |
+
type: image-classification
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| 151 |
+
metrics:
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| 152 |
+
- type: accuracy
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| 153 |
+
value: 83.2 ± 8.1
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| 154 |
+
name: ROC AUC
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| 155 |
+
verified: false
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| 156 |
+
- task:
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| 157 |
+
type: image-classification
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| 158 |
+
name: Image Classification
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| 159 |
+
dataset:
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| 160 |
+
name: TCGA-PAAD[OS]
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| 161 |
+
type: image-classification
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| 162 |
+
metrics:
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| 163 |
+
- type: accuracy
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| 164 |
+
value: 59.0 ± 4.2
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| 165 |
+
name: ROC AUC
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| 166 |
+
verified: false
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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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