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Summary

Excerpt
Example case in axial and sagittal view with corresponding zone segmentation. The 4-class segmentation consists of peripheral zone (pink), transitional zone (yellow), anterior fibromuscular stroma (blue)  and distal prostatic urethra (brown)Image Added

This collection contains prostate’s zonal segmentation for 98 cases randomly selected from the SPIE-AAPM-NCI PROSTATEx ChallengeChallenges (PROSTATEx). The four-class segmentation encompasses the peripheral zone, transition zone, fibromuscular stroma and the distal prostatic urethra. As underlying images, we used transversal T2w scans. Segmentations were created by a medical student with experience in prostate segmentation and an expert urologist who instructed the student and double-checked the segmentations in the end. The DICOM representation of these segmentations were generated with dcmqi.

Note: If this dataset is used for commercial purposes, please contact office@isg.cs.uni-magdeburg.de

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

...

Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.

Acknowledgements

This work has been funded by the EU and the federal state of Saxony-Anhalt, Germany under grant number ZS/2016/08/80388. We would like to thank the authors of the PROSTATEx challenge for providing this valuable dataset

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Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter
Images, Segmentations, and Radiation Therapy Structures/Doses/Plans

License

Segmentations (DICOM,

XX.X GB)<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>

143 MB)


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20manifest_20201125.tcia?api=v2



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https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=11/01/2020-11/06/2020&CollectionCriteria=PROSTATEx&ThirdPartyCriteria=YES


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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, 558 MB
Clinical data (CSV
)


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Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

SEG

Number of Patients

98

Number of Studies

98

Number of Series

98

Number of Images

98

Images Size (GBMB)
<< Add any additional information as needed below. Likely would be something from site. >>
143



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

tcia-
license-4-internationaltcia
limited-license-
4-noncommercial
policy

Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval formMeyer, A., Schindele, D., von Reibnitz, D., Rak, M., Schostak, M., & Hansen, C. (2020). PROSTATEx Zone Segmentations [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.NBB4-4655


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titlePublication Citation

We ask on the proposal form if they have ONE traditional publication they'd like users to cite.

Info
titleAcknowledgement

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.Meyer, A., Rakr, M., Schindele, D., Blaschke, S., Schostak, M., Fedorov, A., & Hansen, C. (2019, April). Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/isbi.2019.8759572


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

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Localtab
titleVersions

Version

X

1 (Current):

Updated yyyy

  2020/

mm

11/

dd

25

Data TypeDownload all or Query/Filter
Images Segmentations (DICOM, xx.x GB143 MB)


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Clinical Data (CSV)Link
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=11/25/2020-11/25/2020&CollectionCriteria=PROSTATEx&ThirdPartyCriteria=YES



Corresponding Original MR Images from PROSTATEx (DICOM, 558 MBOther (format)


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20Corresponding%20Orignial%20files%20manifest_20201125.tcia?api=v2