PROSTATEx-Seg-Zones | PROSTATEx Zone Segmentations
DOI: 10.7937/TCIA.NBB4-4655 | Page Accessibility: Public | Analysis Result
| Location | Subjects | Updated | ||
|---|---|---|---|---|
| Prostate | Prostate | 98 | Organ segmentations | 11/30/2020 |
Summary
This collection contains prostate’s zonal segmentation for 98 cases randomly selected from the SPIE-AAPM-NCI PROSTATEx Challenges (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.
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.
Data Access
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| Title | Data Type | Format | Access Points | License | |||
|---|---|---|---|---|---|---|---|
| Segmentations | SEG | DICOM | Requires NBIA Data Retriever |
98 | 98 | 98 | CC BY 3.0 |
Collections Used in this Third Party Analysis
| Title | Data Type | Format | Access Points | License | |||
|---|---|---|---|---|---|---|---|
| Corresponding Original MR Images from PROSTATEx | DICOM | Requires NBIA Data Retriever |
CC BY 3.0 |
Citations & Data Usage Policy
Data Citation |
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Meyer, 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 |
Publication Citation |
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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 |
TCIA Citation |
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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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |
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