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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- image-segmentation |
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language: |
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- en |
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tags: |
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- medical |
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- image |
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pretty_name: 'crossmoda-lite' |
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size_categories: |
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- n<1K |
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--- |
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## About |
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This is a subset of the [CrossMoDA dataset](https://zenodo.org/records/4662239). |
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- 105 contrast-enhanced T1 MR images and corresponding segmentation masks |
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- No change to any image or segmentation mask |
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- Files are rearrange into `Images` and `Masks` folders |
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- This is labeled data in the training set of [CrossMoDA dataset](https://zenodo.org/records/4662239) |
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This dataset is released under the `CC BY-NC-SA 4.0` license. |
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## Segmentation Labels |
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```python |
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labels_map = { |
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"1": "vestibular schwannoma (acoustic neuroma)", |
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"2": "cochlea", |
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} |
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``` |
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## Official Release |
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For more information, please refer to the offical sites: |
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- Challenge (official): https://crossmoda-challenge.ml |
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- Data (official): https://zenodo.org/records/4662239 |
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- Paper: https://doi.org/10.1016/j.media.2022.102628 |
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## Download from Huggingface |
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```bash |
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#!/bin/bash |
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pip install huggingface-hub[cli] |
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huggingface-cli login --token $HF_TOKEN |
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``` |
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```python |
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# python |
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from huggingface_hub import snapshot_download |
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snapshot_download(repo_id="YongchengYAO/CrossMoDA-Lite", repo_type='dataset', local_dir="/your/local/folder") |
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``` |
