Deep Learning for Real-time, Automatic, and Scanner-adapted Prostate (Zone) Segmentation of Transrectal Ultrasound, for Example, Magnetic Resonance Imaging–transrectal Ultrasound Fusion Prostate Biopsy-Reference-Cited by-同舟云学术

Deep Learning for Real-time, Automatic, and Scanner-adapted Prostate (Zone) Segmentation of Transrectal Ultrasound, for Example, Magnetic Resonance Imaging–transrectal Ultrasound Fusion Prostate Biopsy

Published:2021-01 Issue:1 Volume:7 Page:78-85
ISSN:2405-4569
Container-title:European Urology Focus
language:en
Short-container-title:European Urology Focus

Author:

van Sloun Ruud J.G.^ORCID,Wildeboer Rogier R.,Mannaerts Christophe K.,Postema Arnoud W.,Gayet Maudy,Beerlage Harrie P.,Salomon Georg,Wijkstra Hessel^ORCID,Mischi Massimo

Funder

European Research Council

KWF Kankerbestrijding

Publisher

Elsevier BV

Subject

Urology

Reference39 articles.

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3. How to perform image-guided prostate biopsy: in-bore and fusion approaches;Kuru;Eur Urol Focus,2016

4. Comparing three different techniques for magnetic resonance imaging-targeted prostate biopsies: a systematic review of in-bore versus magnetic resonance imaging-transrectal ultrasound fusion versus cognitive registration. Is there a preferred technique?;Wegelin;Eur Urol,2017

5. Cost-effectiveness comparison of imaging-guided prostate biopsy techniques: systematic transrectal ultrasound, direct in-bore MRI, and image fusion;Venderink;Am J Roentgenol,2017

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