The Cancer Imaging Archive (TCIA) Public Access

Space shortcuts

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

Versions Compared

Old Version 90

changes.mady.by.user Pam Angelus

Saved on

compared with

New Version 91

changes.mady.by.user Pam Angelus

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

  •  Climb 4 Kidney Cancer - Many of the students who worked on the chart review and manual segmentations for this dataset were graciously supported by Climb 4 Kidney Cancer (C4KC) as "C4KC Scholars"
  • Intuitive Surgical - A prize of $5,000 was awarded by Intuitive Surgical to the KiTS19 Challenge's highest scoring team
  • The National Cancer Institute of The National Institutes of Health - This work was supported under Award Number R01CA225435. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health

  • Harmonization of the components of this dataset, including into standard DICOM representation, was supported in part by the NCI Imaging Data Commons consortium. NCI Imaging Data Commons consortium is supported by the contract number 19X037Q from Leidos Biomedical Research under Task Order HHSN26100071 from NCI


Localtab Group



Localtab
activetrue
titleData Access

Data Access

Click the  Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.


Data TypeDownload all or Query/Filter
Images and Segmentations (DICOM, 40.7GB)

 

Clinical Data  (CSV, 82 kB)


Click the Versions tab for more info about data releases.




Localtab
titleDetailed Description

Detailed Description


Collection Statistics

Updated

Modalities

CT, SEG

Number of Participants

210

Number of Studies

210

Number of Series

621

Number of Images

71,423

Image Size (GB)40.7







Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Public collection license

Info
titleData Citation

Heller, N., Sathianathen, N., Kalapara, A., Walczak, E., Moore, K., Kaluzniak, H., Rosenberg, J., Blake, P., Rengel, Z., Oestreich, M., Dean, J., Tradewell, M., Shah, A., Tejpaul, R., Edgerton, Z., Peterson, M., Raza, S., Regmi, S., Papanikolopoulos, N., Weight, C.  (2019) Data from C4KC-KiTS  [Data set]. The Cancer Imaging Archive. DOI: 10.7937/TCIA.2019.IX49E8NX


Info
titleTCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. (2013) The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7


Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. If you have a publication you'd like to add please contact the TCIA Helpdesk. 




Localtab
activetrue
titleVersions

Version 3 (Current): Updated 2020/06/18

Data TypeDownload all or Query/Filter

Images and Segmentations 

(DICOM, 40.7GB)

(Requires NBIA Data Retriever)

Clinical Data  (CSV, 82 kB)

Upon initial publication of this dataset the segmentations were stored as sagittal series, while the CT images are axial. This caused difficulties loading this dataset into various DICOM tools. Those segmentations have now been converted (in a lossless fashion) to axial to resolve these issues.


Version 2: Updated 2020/03/23

Data TypeDownload all or Query/Filter

Images and Segmentations

(DICOM, 40.7GB)

     

Clinical Data  (CSV, 82 kB)

Added clinical data spreadsheet. 

Version 1: Updated 2019/12/18

Data TypeDownload all or Query/Filter

Images (DICOM, 40.7GB)

  






...