Details

Subject Count: 210

Primary Site: Kidney

Image Modalities: CT, SEG

Cancer Type(s): Kidney Cancer

Species: Human

DOIs

C4KC-KiTS original data:

Description

Data from the training set of the 2019 Kidney and Kidney Tumor Segmentation Challenge (C4KC-KiTS)

This collection contains subjects from the training set of the 2019 Kidney and Kidney Tumor Segmentation Challenge  (KiTS19). The challenge aimed to accelerate progress in automatic 3D semantic segmentation by releasing a dataset of CT scans for 210 patients with manual semantic segmentations of the kidneys and tumors in the corticomedullary phase.

The imaging was collected during routine care of patients who were treated by either partial or radical nephrectomy at the University of Minnesota Medical Center. Many of the CT scans were acquired at referring institutions and are therefore heterogeneous in terms of scanner manufacturers and acquisition protocols. Semantic segmentations were performed by students under the supervision of an experienced urologic cancer surgeon.

Please see the C4KC-KiTS  wiki page to learn more about the images and to obtain any supporting metadata for this collection.