A multicenter dataset for lymph node clinical target volume delineation of nasopharyngeal carcinoma

We retrospectively collected 440 computed tomography (CT) images from 262 patients with different imaging modalities, disease stages and treatment strategies. To protect the patients' private information, we first blurred the face region and removed all metadata about clinical and personal. Then, all files are stored with the format NIfTI-1 (32-bit floating point). Each cohort is stored as a folder and named "Internal\_Cohort", and "Testing\_Cohort\_X" ("X" is from 1 to 4), Raw CT images in the training or testing sets are stored in the "imagesTr" or "imagesTs" folders of each cohort with the name "lnctvseg\_cx\_xxxx\_yyyy.nii.gz", respectively, where "cx" denotes the center number x is the digit number from 1 to 4, "xxxx" is the index number of each patient the range is 1 to the total number of patients in "cx", "yyyy" is set to "0000" (non-contrast CT) or "0001" (contrast-enhanced CT). The corresponding labels are stored in the "labelsTr" and "labelsTs" folders with the name "lnctvseg\_cx\_xxxx.nii.gz", respectively.