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README.md typo fix #27

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README.md typo fix #27

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -6,7 +6,7 @@ This repository contains a Pytorch implementation of [Med3D: Transfer Learning f
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project aggregated the dataset with diverse modalities, target organs, and pathologies to to build relatively large datasets. Based on this dataset, a series of 3D-ResNet pre-trained models and corresponding transfer-learning training code are provided.
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Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project aggregated the dataset with diverse modalities, target organs, and pathologies to to build relatively large datasets. Based on this dataset, a series of 3D-ResNet pre-trained models and corresponding transfer-learning training code are provided.
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project aggregated the dataset with diverse modalities, target organs, and pathologies to build relatively large datasets. Based on this dataset, a series of 3D-ResNet pre-trained models and corresponding transfer-learning training code are provided.


### License
MedicalNet is released under the MIT License (refer to the LICENSE file for detailso).
MedicalNet is released under the MIT License (refer to the LICENSE file for details).

### Citing MedicalNet
If you use this code or pre-trained models, please cite the following:
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