A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading-Reference-Cited by-同舟云学术

A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading

Published:2023-04-25 Issue:4 Volume:26 Page:681-692
ISSN:1365-7852
Container-title:Prostate Cancer and Prostatic Diseases
language:en
Short-container-title:Prostate Cancer Prostatic Dis

Author:

Morozov Andrey^ORCID,Taratkin Mark,Bazarkin Andrey,Rivas Juan Gomez^ORCID,Puliatti Stefano^ORCID,Checcucci Enrico^ORCID,Belenchon Ines Rivero^ORCID,Kowalewski Karl-Friedrich,Shpikina Anastasia,Singla Nirmish,Teoh Jeremy Y. C.^ORCID,Kozlov Vasiliy,Rodler Severin,Piazza Pietro,Fajkovic Harun,Yakimov Maxim,Abreu Andre Luis^ORCID,Cacciamani Giovanni E.^ORCID,Enikeev Dmitry^ORCID,

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Urology,Oncology

Link

https://www.nature.com/articles/s41391-023-00673-3.pdf

Reference56 articles.

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3. Sun Y, Reynolds HM, Parameswaran B, Wraith D, Finnegan ME, Williams S, et al. Multiparametric MRI and radiomics in prostate cancer: A review. Australas Phys Eng Sci Med [Internet]. 2019;42:3–25. http://link.springer.com/10.1007/s13246-019-00730-z

4. Szentirmai E, Giannico GA. Intraductal carcinoma of the prostate. Pathologica 2020;112:17–24.

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