E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 challenge

Author:

Bukhari Syed Talha,Mohy-ud-Din Hassan

Publisher

Springer International Publishing

Reference29 articles.

1. Baid, U., et al.: The RSNA-ASNR-MICCAI brats 2021 benchmark on brain tumor segmentation and radiogenomic classification. arXiv preprint arXiv:2107.02314 (2021)

2. Bakas, S., et al.: Segmentation labels and radiomic features for the pre-operative scans of the TCGA-GBM collection. Can. Imaging Archive (2017)

3. Bakas, S., et al.: Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection. Can. Imaging Archive 286 (2017)

4. Bakas, S., et al.: Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features. Sci. Data 4, 170117 (2017)

5. Brett, M., et al.: nipy/nibabel: 2.5.2, April 2020. https://doi.org/10.5281/zenodo.3745545

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