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README.md

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@@ -14,10 +14,10 @@ The RadImageNet database includes 1.35 million annotated CT, MRI, and ultrasound
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| Model Name | Top1 Accuracy | Top5 Accuracy |
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| ------------- |:-------------:| -----:|
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| InceptionResNetV2 | 74.0% | 94.3% |
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| ResNet50 | 72.3% | 94.1% |
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| DenseNet121 | 73.1% | 96.1% |
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| InceptionV3 | 73.2% | 92.7% |
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| Swin Transformer | 76.2% | 92.6% |
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| ResNet50 | 72.3% | 94.1% |
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| DenseNet121 | 73.1% | 96.1% |
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| InceptionV3 | 73.2% | 92.7% |
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| Swin Transformer | 76.2% | 92.6% |
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## Citation
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If you find RadImageNet dataset and/or models useful in your research, please cite:

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