Summary
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 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
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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| title | Data Access |
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| Data Access| Data Type | Download all or Query/Filter | License |
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Segmentations (DICOM, 143 MB) |
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public| nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=11/ |
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0525Click the Versions tab for more info about data releases. Collections Used in this Third Party AnalysisBelow is a list of the Collections used in these analyses: | Source Data Type | Download all or Query/Filter | License |
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| Corresponding Original MR Images from PROSTATEx (DICOM, |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20Corresponding%20Orignial%20files%20manifest_20201125.tcia?api=v2 |
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| title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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Modalities | SEG | Number of Patients | 98 | Number of Studies | 98 | Number of Series | 98 | Number of Images | 98 | | Images Size (GBMB) | 0.143 |
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| title | Citations & Data Usage Policy |
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| Citations & Data Usage Policylicense-4-internationaltcia-4-noncommercial| Info |
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| SchindeleMeyer, DA., MeyerSchindele, AD., Von von Reibnitz, D. F., SchostakRak, M., RakSchostak, M., & Hansen, C. (2020). PROSTATEx Zone Segmentations [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/tciaTCIA.nbb4NBB4-4655 |
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| title | Publication Citation |
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| Meyer, A., Rakr, M. Rak, Schindele, D. Schindele, Blaschke, S. Blaschke, Schostak, M. Schostak, Fedorov, A. Fedorov, & Hansen, C. Hansen, “Towards (2019, April). Towards Patient-Individual PI-RADS Rads v2 Sector Map: CNN Cnn for Automatic Segmentation of Prostatic Zones from From T2-Weighted MRI”, MRI. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, 2019, pp. 696-700, doi: . 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/ISBIisbi.2019.8759572. |
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| 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 DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
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| Version 1 (Current): 2020/11/25| Data Type | Download all or Query/Filter |
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| Segmentations Segmentations (DICOM, xx.x GB143 MB) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20manifest_20201125.tcia?api=v2 |
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public| nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&DateRange=11/ |
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05| 25/2020-11/25/2020&CollectionCriteria=PROSTATEx&ThirdPartyCriteria=YES |
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| | Corresponding Original MR Images from PROSTATEx (DICOM, 558 MB) | |
| url | https://wiki.cancerimagingarchive.net/download/attachments/70230177/ProstateX%20Zone%20Segmentations%20Corresponding%20Orignial%20files%20manifest_20201125.tcia?api=v2 |
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