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README.md
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---
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license: cc-by-3.0
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task_categories:
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- image-segmentation
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tags:
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- medical
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- ct
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- thoracic
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- lung
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- radiotherapy
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- oar
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- dicom
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- rtstruct
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size_categories:
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- n<1K
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---
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# LCTSC — Lung CT Segmentation Challenge 2017 (AAPM)
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Mirror of the [TCIA LCTSC collection](https://www.cancerimagingarchive.net/collection/lctsc/) for the AAPM 2017 Thoracic Auto-segmentation Grand Challenge. 60 thoracic CT cases (CT volumes + DICOM RTSTRUCT contours) covering five organs at risk for radiation treatment planning.
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## Classes (5 OARs)
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| Class | Notes |
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| --- | --- |
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| Esophagus | |
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| Heart | |
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| Left Lung | RTSTRUCT splits Lungs into L/R |
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| Right Lung | |
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| Spinal Cord | |
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## Splits
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| Split | Cases | HF folder |
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| --- | --- | --- |
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| Training | 36 | `train/` |
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| Off-site test | 12 | `test_offsite/` |
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| Online (live) test | 12 | `test_online/` |
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| **Total** | **60** | |
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Cases are stratified across three institutions (S1: MD Anderson, S2: MSKCC, S3: MAASTRO) — case IDs encode the institution: e.g., `LCTSC-Train-S2-005`.
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## Data layout
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Each patient folder contains:
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- one CT series (`<study_uid>/<series_uid>/*.dcm`, ~140 slices, 512×512, ~512 KB/slice)
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- one DICOM RTSTRUCT (`<study_uid>/<small_uid>/1-1.dcm`, ~2 MB) with the five OAR contours
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```
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train/LCTSC-Train-S1-001/<study>/<ct_series>/*.dcm
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train/LCTSC-Train-S1-001/<study>/<rtstruct_series>/*.dcm
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```
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## License & citation
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Released under **CC BY 3.0** by TCIA.
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When using this data, cite the original publication and TCIA per [the LCTSC citation policy](https://www.cancerimagingarchive.net/collection/lctsc/):
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> Yang J, Veeraraghavan H, Armato SG III, et al. Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Med Phys. 2018;45(10):4568-4581. doi:10.1002/mp.13141
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> Clark K, Vendt B, Smith K, et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. J Digit Imaging. 2013;26(6):1045-1057.
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Original DOI: [10.7937/K9/TCIA.2017.3R3FVZ08](https://doi.org/10.7937/K9/TCIA.2017.3R3FVZ08).
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