Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods-Reference-Cited by-同舟云学术

Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods

Published:2024-03-21 Issue:5 Volume:49 Page:1545-1556
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Johnson Latrice A.,Harmon Stephanie A.,Yilmaz Enis C.,Lin Yue,Belue Mason J.,Merriman Katie M.,Lay Nathan S.,Sanford Thomas H.,Sarma Karthik V.,Arnold Corey W.,Xu Ziyue,Roth Holger R.,Yang Dong,Tetreault Jesse,Xu Daguang,Patel Krishnan R.,Gurram Sandeep,Wood Bradford J.,Citrin Deborah E.,Pinto Peter A.,Choyke Peter L.,Turkbey Baris^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00261-024-04242-7.pdf

Reference32 articles.

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5. Ahdoot M, Wilbur AR, Reese SE, et al. MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis. N Engl J Med. 2020;382(10):917-928. https://doi.org/10.1056/NEJMoa1910038