LCTSC — Lung CT Segmentation Challenge 2017 (AAPM) Mirror of the TCIA LCTSC collection 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. Classes (5 OARs) Class Notes Esophagus Heart Left Lung RTSTRUCT splits Lungs into L/R Right Lung Spinal Cord Splits Split Cases HF folder Training 36 train/ Off site test 12 test offsite/ Online (live) test 12 test online/ Total 60 Cases are stratified across three institutions (S1: MD Anderson, S2: MSKCC, S3: MAASTRO) — case IDs encode the institution: e.g., LCTSC Train S2 005 . Data layout Each patient folder contains: one CT series ( / / .dcm , ~140 slices, 512×512, ~512 KB/slice) one DICOM RTSTRUCT ( / /1 1.dcm , ~2 MB) with the five OAR contours License & citation Released under CC BY 3.0 by TCIA. When using this data, cite the original publication and TCIA per the LCTSC citation policy: 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 Clark K, Vendt B, Smith K, et al.…
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