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 of the method, which is proposed in "Multi-modal brain tumor data completion based on reconstruction consistency loss" . This dataset can be only used for paper review, please do not share, thanks. 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 one-to-one correspondence.</p> <p>3.If you want to use the trained model, please download brats18 dataset and preprocess your dataset, which can refer to <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
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.