Safetensors
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@@ -45,7 +45,29 @@ probs = infer(input_texts)
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  ## Model Performance
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- Coming soon...
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Citation
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  ## Model Performance
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+ The following table shows the results for each class on the validation data (n=150) of CT-RATE-JPN. For metrics requiring binarization, a threshold of 0.5 was used.
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+ | | Disease | Positive_Samples | Accuracy | Precision | Recall | F1 | AUC-ROC | AP |
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+ |---:|:-----------------------------------|-------------------:|-----------:|------------:|---------:|------:|----------:|------:|
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+ | 0 | Medical material | 14 | 0.973 | 0.778 | 1 | 0.875 | 0.999 | 0.99 |
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+ | 1 | Arterial wall calcification | 49 | 0.987 | 0.961 | 1 | 0.98 | 1 | 1 |
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+ | 2 | Cardiomegaly | 25 | 0.987 | 1 | 0.92 | 0.958 | 0.999 | 0.996 |
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+ | 3 | Pericardial effusion | 12 | 1 | 1 | 1 | 1 | 1 | 1 |
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+ | 4 | Coronary artery wall calcification | 45 | 0.987 | 0.978 | 0.978 | 0.978 | 1 | 1 |
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+ | 5 | Hiatal hernia | 24 | 1 | 1 | 1 | 1 | 1 | 1 |
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+ | 6 | Lymphadenopathy | 37 | 0.987 | 0.973 | 0.973 | 0.973 | 0.994 | 0.987 |
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+ | 7 | Emphysema | 31 | 0.98 | 0.938 | 0.968 | 0.952 | 0.989 | 0.96 |
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+ | 8 | Atelectasis | 49 | 0.993 | 0.98 | 1 | 0.99 | 1 | 1 |
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+ | 9 | Lung nodule | 82 | 0.967 | 0.975 | 0.963 | 0.969 | 0.991 | 0.994 |
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+ | 10 | Lung opacity | 55 | 0.953 | 0.929 | 0.945 | 0.937 | 0.991 | 0.985 |
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+ | 11 | Pulmonary fibrotic sequela | 47 | 0.953 | 0.935 | 0.915 | 0.925 | 0.981 | 0.973 |
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+ | 12 | Pleural effusion | 19 | 0.987 | 0.905 | 1 | 0.95 | 1 | 0.997 |
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+ | 13 | Mosaic attenuation pattern | 25 | 1 | 1 | 1 | 1 | 1 | 1 |
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+ | 14 | Peribronchial thickening | 21 | 0.96 | 1 | 0.714 | 0.833 | 0.985 | 0.948 |
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+ | 15 | Consolidation | 24 | 0.933 | 0.706 | 1 | 0.828 | 0.996 | 0.985 |
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+ | 16 | Bronchiectasis | 20 | 0.98 | 0.87 | 1 | 0.93 | 0.99 | 0.873 |
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+ | 17 | Interlobular septal thickening | 7 | 0.993 | 0.875 | 1 | 0.933 | 1 | 1 |
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  ## Citation
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