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README.md

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@@ -10,6 +10,13 @@ The RadImageNet database includes 1.35 million annotated CT, MRI, and ultrasound
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![alt text](https://github.com/BMEII-AI/RadImageNet/blob/main/util/Slide2.JPG)
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## Top1 and Top5 Accuracy
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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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## Citation
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If you find RadImageNet dataset and/or models useful in your research, please cite:
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@@ -47,7 +54,7 @@ Comparions on small datasets (5-fold cross validation)
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Comparions on large datasets
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![alt text](https://github.com/BMEII-AI/RadImageNet/blob/main/util/f4_final.jpg)
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## Top1 and Top5 Accuracy
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The sample code for each application is listed upward.
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