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An example dataset for Multi-modal brain tumor data completion based on reconstruction consistency loss

<p>This is part of inputs and corresponding prediction results&nbsp;of the method, which is proposed in&nbsp;&quot;Multi-modal brain tumor data completion based on reconstruction consistency loss&quot;&nbsp;. This dataset can be only used for paper review, please do not share, thanks.&nbsp; The struction of this dataset is as follows:</p> <p>1.There are three folders, where pred_data stores the network image outputs. test_data stores the input images. trained model include the trained model by our network.</p> <p>2.The serial number is in a&nbsp; one-to-one&nbsp;correspondence.</p> <p>3.If you want to use the trained model, please download brats18 dataset and preprocess your dataset, which can&nbsp;refer to&nbsp;&nbsp;<a href="https://github.com/zhangshuang317/RAGAN/">https://github.com/zhangshuang317/RAGAN/</a>.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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