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lymph_node_segmentation

Image Segmentation
Transformers
Safetensors
PyTorch
segmentation
multilabel
unet
medical-imaging
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@@ -44,8 +44,8 @@ A unet model for multilabel image segmentation trained with sliding window appro
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  | ------------ | -----: | ------: | ------: | ------: | ------: |
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  | Dice | 0.8697 | 0.7635 | 0.8607 | 0.9085 | 0.9461 |
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  | IoU | 0.7757 | 0.6174 | 0.7554 | 0.8323 | 0.8977 |
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- | F1 (Pooled) | 0.8697 | 0.7635 | 0.8607 | 0.9085 | 0.9461 |
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- | MCC (Pooled) | 0.8649 | 0.7636 | 0.8588 | 0.9032 | 0.9340 |
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  | ROC AUC | 0.9971 | 0.9946 | 0.9983 | 0.9978 | 0.9978 |
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  | PR AUC | 0.9412 | 0.8527 | 0.9494 | 0.9720 | 0.9908 |
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@@ -56,8 +56,8 @@ A unet model for multilabel image segmentation trained with sliding window appro
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  | ------------ | -----: | ------: | ------: | ------: | ------: |
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  | Dice | 0.7960 | 0.7578 | 0.7830 | 0.7344 | 0.9087 |
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  | IoU | 0.6666 | 0.6101 | 0.6433 | 0.5803 | 0.8328 |
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- | F1 (Pooled) | 0.7960 | 0.7578 | 0.7830 | 0.7344 | 0.9087 |
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- | MCC (Pooled) | 0.7959 | 0.7609 | 0.7891 | 0.7436 | 0.8900 |
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  | ROC AUC | 0.9942 | 0.9949 | 0.9975 | 0.9903 | 0.9941 |
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  | PR AUC | 0.9117 | 0.8628 | 0.9133 | 0.8985 | 0.9720 |
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  | ------------ | -----: | ------: | ------: | ------: | ------: |
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  | Dice | 0.8697 | 0.7635 | 0.8607 | 0.9085 | 0.9461 |
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  | IoU | 0.7757 | 0.6174 | 0.7554 | 0.8323 | 0.8977 |
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+ | F1 | 0.8697 | 0.7635 | 0.8607 | 0.9085 | 0.9461 |
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+ | MCC | 0.8649 | 0.7636 | 0.8588 | 0.9032 | 0.9340 |
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  | ROC AUC | 0.9971 | 0.9946 | 0.9983 | 0.9978 | 0.9978 |
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  | PR AUC | 0.9412 | 0.8527 | 0.9494 | 0.9720 | 0.9908 |
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  | ------------ | -----: | ------: | ------: | ------: | ------: |
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  | Dice | 0.7960 | 0.7578 | 0.7830 | 0.7344 | 0.9087 |
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  | IoU | 0.6666 | 0.6101 | 0.6433 | 0.5803 | 0.8328 |
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+ | F1 | 0.7960 | 0.7578 | 0.7830 | 0.7344 | 0.9087 |
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+ | MCC | 0.7959 | 0.7609 | 0.7891 | 0.7436 | 0.8900 |
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  | ROC AUC | 0.9942 | 0.9949 | 0.9975 | 0.9903 | 0.9941 |
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  | PR AUC | 0.9117 | 0.8628 | 0.9133 | 0.8985 | 0.9720 |
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