PROSTATEx-Seg-Zones | PROSTATEx Zone Segmentations
DOI: 10.7937/TCIA.NBB4-4655 | Data Citation Required | 1 Citations | Analysis Result
| Location | Subjects | Size | Updated | |||
|---|---|---|---|---|---|---|
| Prostate | Prostate | 98 | Organ segmentations | 2020/11/25 |
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.
Data Access
Version 1: Updated 2020/11/25
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Segmentations | SEG | DICOM | Download requires NBIA Data Retriever |
98 | 98 | 98 | 98 | CC BY 3.0 |
Collections Used In This Analysis Result
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Corresponding Original MR Images from PROSTATEx | MR | DICOM | Requires NBIA Data Retriever |
98 | 98 | 98 | 2,020 | CC BY 3.0 |
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
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 |
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.
Related Publications
Publications by the Dataset Authors
The authors recommended the following as the best source of additional information about this dataset:
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 |
Research Community Publications
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