Lung tumor CT segmentation dataset

After tumor segmentation on the CT images was completed, the segmentation data was exported as a separate file and stored along with the corresponding original CT image. This process allows for rapid matching of the CT image to its segmentation in subsequent examinations and repairs.The ASLS26 dataset covers the period from February 14, 2014 to July 24, 2019, and includes 449 cases. tumor volume volumes (GTVs) delineation for each patient was performed by at least two experienced radiation oncologists using the Varian radiation delineation system.

Any disagreements were resolved through consensus based on anatomical and dosimetric criteria. Data for each patient is stored in DICOM file format. The RTSTRUCT file for each dataset contains the GTVs structure manually delineated by the radiation oncologists using the Varian system.

Both datasets were anonymized using the RSNA DICOM anonymizer tool (Version 18.0, github.com/RSNA/Anonymizer). Meta-information was recorded in a CSV table, including anonymization information and original patient and examination details.