The Cancer Imaging Archive (TCIA) Public Access

Space shortcuts

Child pages
  • NSCLC-Radiomics-Interobserver1

Versions Compared

Old Version 29

changes.mady.by.user Geri Blake

Saved on

compared with

New Version 30

changes.mady.by.user Justin Kirby

Saved on

Key

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

...

Other data sets in the Cancer Imaging Archive that were used in the same study published in Nature Communications: NSCLC-Radiomics, NSCLC Radiogenomics, Head-Neck-Radiomics-HN1.

For scientific inquiries about this dataset, please contact Dr Leonard Wee (leonard.wee@maastro.nl) and Prof Andre Dekker (andre.dekker@maastro.nl) at MAASTRO Clinic/Maastricht University Medical Centre+ and Maastricht University, The Netherlands.

...

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 (DICOM, 3.2 GB)

(Requires NBIA Data Retriever.)

Clinical Data (CSV)

Click the Versions tab for more info about data releases.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

CT, RTSTRUCT, SEG

Number of Patients

22

Number of Studies

22

Number of Series

64

Number of Images

3886

Images Size (GB)3.2



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

This collection may not be used for commercial purposes. This collection is freely available to browse, download, as outlined in the Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) https://creativecommons.org/licenses/by-nc/3.0/.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net. 

Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

Info
titleData Citation

Wee, L., Aerts, H. J.L., Kalendralis, P., & Dekker, A. (2019). Data from NSCLC-Radiomics-Interobserver1 [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tcia.2019.cwvlpd26.


Info
titlePublication Citation
Aerts HJWL, Velazquez ER, Leijenaar RTH, Parmar C, Grossmann P, Carvalho S, Bussink J, Monshouwer R, Haibe-Kains B, Rietveld D, Hoebers F, Rietbergen MM, Leemans CR, Dekker A, Quackenbush J, Gillies RJ, Lambin P. Decoding Tumour Phenotype by Noninvasive Imaging Using a Quantitative Radiomics Approach, Nature Communications, Volume 5, Article Number 4006, June 03, 2014. DOI: http://doi.org/10.1038/ncomms5006. 


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. 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 TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.


Localtab
titleVersions


Localtab
titleVersions

Version 2 (Current): Updated 2019/10/18

Data TypeDownload all or Query/Filter
Images (DICOM, 3.2 GB)

(Requires NBIA Data Retriever.)

Clinical Data (CSV)

Added DICOM Segmentations for the primary tumor only, the ROI (GTV-1) for the RTSTRUCTs and DICOM Segs are the same.

Version 1: Updated 2019/06/02

Data TypeDownload all or Query/Filter
Images (DICOM, 2.0 GB)

(Requires NBIA Data Retriever.)

Clinical Data (CSV)







...