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  • High Resolution Prostate Segmentations for the ProstateX-Challenge (PROSTATEx-Seg-HiRes)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense
Segmentations (DICOM, 0.119 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/61080779/High%20Resolution%20Prostate%20Segmentations%20for%20the%20ProstateX-Challenge-NBIA-manifest_20200917.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://public.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=09/10/2020-09/11/2020&CollectionCriteria=PROSTATEx&ThirdPartyCriteria=YES


(Requires NBIA Data Retriever.)

Tcia cc by 3

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.

Collections Used in this Third Party Analysis


Below is a list of the Collections used in these analyses:

Source Data TypeDownload all or Query/FilterLicense
Corresponding Original MR Images from PROSTATEx (DICOM, 371.21 MB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/61080779/ProstateX-Original%20MR%20Images-NBIA-manifest_20200917.tcia?api=v2


(Requires NBIA Data Retriever.)

Tcia cc by 3



Localtab
titleDetailed Description

Detailed Description

Image Statistics
ModalitiesSEG
Number of Patients66
Number of Studies66
Number of Series66

Number of Images

66
Image Size (GB)0.119



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Tcia limited license policy

Info
titleData Citation
Schindele, D., Meyer, A., Von Reibnitz, D. F., Kiesswetter, V., Schostak, M., Rak, M., & Hansen, C. (2020). High Resolution Prostate Segmentations for the ProstateX-Challenge [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.DEG7ZG1U


Info
titlePublication Citation

Meyer, A., Chlebus, G., Rak, M., Schindele, D., Schostak, M., van Ginneken, B., Schenk, A., Meine, H., Hahn, H. K., Schreiber, A., & Hansen, C. (2020). Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. Computer Methods and Programs in Biomedicine, 105821. https://doi.org/10.1016/j.cmpb.2020.105821


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




Localtab
titleVersions

Version 1 (Current): 2020/09/18

Data TypeDownload all or Query/Filter
Segmentations (DICOM, 0.119 GB)

    

Corresponding Original MR Images from PROSTATEx (DICOM, 371.21 MB)

    





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