Correction: PSMA‑positive prostatic volume prediction with deep learning based on T2‑weighted MRI

Affiliations

• ¹ Department of Nuclear Medicine, University Hospital Zürich, University of Zurich, Zurich, Switzerland. riclaudi@hotmail.it.
• ² Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina, Italy. riclaudi@hotmail.it.
• ³ Ri.MED Foundation, Palermo, Italy. riclaudi@hotmail.it.
• ⁴ Ri.MED Foundation, Palermo, Italy.
• ⁵ Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
• ⁶ Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Cefalù, Italy.
• ⁷ Computer Vision Lab, ETH Zurich, Zurich, Switzerland.
• ⁸ Department of Nuclear Medicine, University Hospital Zürich, University of Zurich, Zurich, Switzerland.
• ⁹ Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina, Italy.
• ¹⁰ Department of Urology, University Hospital of Zürich, Zurich, Switzerland.
• ¹¹ Department of Nuclear Medicine, Cantonal Hospital Baden, Baden, Switzerland.