All datasets / MedOtter
MedOtter/PROSTATEx-Seg-HiRes
The declared licence (cc-by-3.0) is classified as permissive.
- Declared licence
- cc-by-3.0, from the tagEvidence: README.md at 46fde9e
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 46fde9e
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@article{meyer2021anisotropic,
title = {Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI},
author = {Meyer, Anneke and Chlebus, Grzegorz and Rak, Marko and Schindele, Daniel and
Schostak, Martin and van Ginneken, Bram and Schenk, Andrea and Meine, Hans and
Hahn, Horst K. and Schreiber, Andreas and Hansen, Christian},
journal = {Computer Methods and Programs in Biomedicine},
volume = {200}, pages = {105821}, year = {2021},
doi = {10.1016/j.cmpb.2020.105821}
}
@misc{schindele2020hires,
title = {High Resolution Prostate Segmentations for the ProstateX-Challenge},
author = {Schindele, Daniel and Meyer, Anneke and Von Reibnitz, Donata F. and
Kiesswetter, Verena and Schostak, Martin and Rak, Marko and Hansen, Christian},
publisher = {The Cancer Imaging Archive}, year = {2020},
doi = {10.7937/TCIA.2019.DEG7ZG1U}
}
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dataset_licence({ "id": "MedOtter/PROSTATEx-Seg-HiRes" })
signal: "permissive"
stated_licence: "cc-by-3.0"
sources: 0