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@@ -52,14 +52,7 @@ Full exam DICOM files are retrievable through the Cancer Imaging Archive at: [ht
## Citation
The article related to whole gland and zonal segmentations is still in production, but has been assigned a DOI. Details are:
- Journal: Journal of Magnetic Resonance Imaging
- Article DOI: 10.1002/jmri.27585
- Article: Deep learning whole-gland and zonal prostate segmentation on a public MRI dataset
- Authors: Renato Cuocolo, Albert Comelli, Alessandro Stefano, Viviana Benfante, Navdeep Dahiya, Arnaldo Stanzione, Anna Castaldo, Davide Raffaele De Lucia, Anthony Yezzi, Massimo Imbriaco
Formatted for typical journal use: Cuocolo R, Comelli A, Stefano A, et al (2021) Deep learning whole-gland and zonal prostate segmentation on a public MRI dataset. J Magn Reson Imaging. https://doi.org/10.1002/jmri.27585
- Cuocolo R, Comelli A, Stefano A, et al (2021) Deep Learning Whole‐Gland and Zonal Prostate Segmentation on a Public MRI Dataset. J Magn Reson Imaging jmri.27585. https://doi.org/10.1002/jmri.27585
A second paper focused on the QA process and lesion segmentation is still under review. Details will be made available when possible.