Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology.

Saved in:
Bibliographic Details
Title: Machine learning prediction of Gleason grade group upgrade between in-bore biopsy and radical prostatectomy pathology.
Authors: Ozbozduman K; Bogazici University Physics Department, Istanbul, Turkey. kaan.ozbozduman@boun.edu.tr., Loc I; Bogazici University Physics Department, Istanbul, Turkey., Durmaz S; Department of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey., Atasoy D; Department of Radiology, University of Koc School of Medicine, Istanbul, Turkey., Kilic M; Department of Urology, VKF American Hospital, Istanbul, Turkey., Yildirim H; Department of Radiology, VKF American Hospital, Istanbul, Turkey., Esen T; Department of Urology, VKF American Hospital, Istanbul, Turkey.; Department of Urology, University of Koc School of Medicine, Istanbul, Turkey., Vural M; Department of Radiology, VKF American Hospital, Istanbul, Turkey., Unlu MB; Faculty of Engineering, Ozyegin University, Istanbul, Turkey.; Faculty of Aviation and Aeronautical Sciences Ozyegin University, Istanbul, Turkey.
Source: Scientific reports [Sci Rep] 2024 Mar 11; Vol. 14 (1), pp. 5849. Date of Electronic Publication: 2024 Mar 11.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first