Training data are available here as a '.tcia' manifest file. You may take advantage of this information to optimize your algorithm for testing data acquired from different institutions. Each training dataset is labeled as LCTSC-Train-Sx-yyy, with Sx (x=1,2,3) identifying the institution and yyy identifying the dataset ID in one institution. The following organs-at-risk (OARs) are included in this challenge:Įach training dataset includes a set of DICOM CT image files and one DICOM RTSTRUCT file. Details of contouring guidelines can be found in 'Learn the Details'. Datasets were divided into three groups, stratified per institution:ĭata will be provided in DICOM (both CT and RTSTRUCT), as commonly used in most commercial treatment planning systems.Ĭontouring Guidelines The manual contours that were used in clinic for treatment planning were used as ground “truth.” All contours were reviewed (and edited if necessary) to ensure consistency across the 60 patients using the RTOG 1106 contouring atlas. Data were acquired from 3 institutions (20 each). Data descriptionĪverage 4DCT or free-breathing (FB) CT images from 60 patients, depending on clinical practice, are used for this challenge. To participate in the challenge and to learn more about the subsets of training and test data used please visit Some information from the challenge site is included below.

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