Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival-Reference-Cited by-同舟云学术

Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival

Published:2019-12-20 Issue:2 Volume:40 Page:106-113
ISSN:1475-0961
Container-title:Clinical Physiology and Functional Imaging
language:en
Short-container-title:Clin Physiol Funct Imaging

Author:

Polymeri Eirini¹²^ORCID,Sadik May³,Kaboteh Reza³,Borrelli Pablo³,Enqvist Olof⁴,Ulén Johannes⁵,Ohlsson Mattias⁶,Trägårdh Elin⁷^ORCID,Poulsen Mads H.⁸,Simonsen Jane A.⁹,Hoilund‐Carlsen Poul Flemming⁹,Johnsson Åse A.¹²,Edenbrandt Lars³¹⁰

Affiliation:

1. Department of Radiology Institute of Clinical Sciences Sahlgrenska Academy University of Gothenburg GothenburgSweden

2. Department of Radiology Region Västra Götaland Sahlgrenska University Hospital GothenburgSweden

3. Department of Clinical Physiology Region Västra Götaland Sahlgrenska University Hospital GothenburgSweden

4. Department of Electrical Engineering Region Västra Götaland Chalmers University of Technology GothenburgSweden

5. Eigenvision AB MalmöSweden

6. School of Information Technology Halmstad Embedded and Intelligent Systems Research (EIS) CAISR ‐ Centre for Applied Intelligent Systems Research Halmstad University HalmstadSweden

7. Department of Translational Medicine Institute of Clinical Sciences Lund University Malmö Sweden

8. Department of Urology Odense University Hospital OdenseDenmark

9. Department of Nuclear Medicine Odense University Hospital Odense Denmark

10. Department of Molecular and Clinical Medicine Institute of Medicine Sahlgrenska Academy University of Gothenburg Gothenburg Sweden

Funder

Sveriges Regering

Publisher

Wiley

Subject

Physiology (medical),General Medicine,Physiology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cpf.12611

Reference26 articles.

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2. Recommendations on screening for prostate cancer with the prostate-specific antigen test

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