YongchengYAO
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README.md
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##
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- imagesTr: training images (#404)
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- labelsTr: training segmentation masks (#404)
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- imagesTs: testing images (#103)
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- labelsTs: testing segmentation masks (#103)
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## Data Split
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- `subInfo_train.xlsx`: list of training data
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- `subInfo_test.xlsx`: list of testing data
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- `kneeSideInfo.csv`: a file containing knee side information, used in CartiMorph Toolbox
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## :rocket: Dataset: **OAIZIB-CM**
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| Source | link |
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| ------------ | ------------------------------------------------------------ |
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| Google Drive | [here](https://drive.google.com/drive/folders/13_afAKSH7ZMOI_Nk2gfoihbJKwafw1l9?usp=share_link) |
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| Huggingface | [here](https://huggingface.co/datasets/YongchengYAO/OAIZIB-CM/tree/main) |
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If you use our preprocessed data, please note that the manual segmentation annotations come from this work:
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- Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative (https://doi.org/10.1016/j.media.2018.11.009)
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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/OAIZIB-CM", repo_type='dataset', local_dir="/your/local/folder")
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```
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## Files
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### Images & Labels
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- imagesTr: training images (#404)
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- labelsTr: training segmentation masks (#404)
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- imagesTs: testing images (#103)
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- labelsTs: testing segmentation masks (#103)
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### Data Split & Info
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- `subInfo_train.xlsx`: list of training data
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- `subInfo_test.xlsx`: list of testing data
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- `kneeSideInfo.csv`: a file containing knee side information, used in CartiMorph Toolbox
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