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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- image-classification |
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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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--- |
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# [MICCAI FLARE25](https://flare-medfm.github.io/) |
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## Task 4: Foundation Models for 3D CT and MRI Scans [(Homepage)](https://www.codabench.org/competitions/7150/) |
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This is the official dataset for **CT image foundation model** development. We provide 10,000+ CT scans for model pretraining. |
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Downstream tasks include: |
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- Abdominal disease classification |
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- Abdominal lesion segmentation |
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- Abdominal organ segmentation |
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- Lung lesion segmentation |
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## Folder structure |
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```bash |
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FLARE-Task4-CT-FM/ |
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├── README.md |
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├── train_part1 # training set part 1 |
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└── train_part2/ # training set part 2 |
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├── val_downstream/ # validation sets for downstream tasks |
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│ ├── abdomen_disease_classify |
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│ ├── abdomen_lesion_seg |
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│ ├── abdomen_organ_seg |
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│ └── lung_lesion_seg |
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# To avoid potential data leakage, the testing set will not be released. |
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``` |
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## Remarks |
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1. During training, please don't use any of the (public) annotations. Only raw images are allowed. |
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## References |
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TBD |
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