Search

  • HOME
  • Search
Bladder Cancer
Review Article
600
Artificial Intelligence: The Latest Advances in the Diagnosis of Bladder Cancer
Satyendra Singh, Ram Mohan Shukla
Journal of Urologic Oncology. 2024;22(3):268-280.   Published online November 30, 2024
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    
Prostate Cancer
Original Article
593
A Machine Learning Model for Prostate Cancer Prediction in Korean Men
Sukjung Choi, Beomgi So, Shane Oh, Hongzoo Park, Sang Wook Lee, Geehyun Song, Jong Min Lee, Jung Ki Jo, Seon Hyeok Kim, Si Eun Lee, Eun-Bi Cho, Jae Hung Jung, Jeong Hyun Kim
Journal of Urologic Oncology. 2024;22(3):201-210.   Published online November 30, 2024
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    
Original Article
492
Machine Learning Techniques in Prostate Cancer Diagnosis According to Prostate-Specific Antigen Levels and Prostate Cancer Gene 3 Score
Roberto Passera, Stefano De Luca, Cristian Fiori, Enrico Bollito, Francesco Porpiglia
Korean J Urol Oncol. 2021;19(3):164-173.   Published online August 31, 2021
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    
Original Article
Machine Learning Approaches for the Prediction of Prostate Cancer according to Age and the Prostate-Specific Antigen Level
Jaegeun Lee, Seung Woo Yang, Seunghee Lee, Yun Kyong Hyon, Jinbum Kim, Long Jin, Ji Yong Lee, Jong Mok Park, Taeyoung Ha, Ju Hyun Shin, Jae Sung Lim, Yong Gil Na, Ki Hak Song
Korean J Urol Oncol. 2019;17(2):110-117.   Published online August 30, 2019
Full textFull text    PubreaderPubReader    ePubePub    PDFPDF    

Journal of
Urologic Oncology

Print ISSN: 2951-603X
Online ISSN: 2982-7043



Editorial Office
Department of Urology, Seoul National University Hospital, Seoul National University College of Medicine,
101 Daehak-ro, Jongno-gu, Seoul 03080, Korea
TEL: +82-2-2072-0817,   FAX: +82-2-742-4665   Email: journal@e-juo.org
Korean Urological Oncology Society
50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
Tel: +82-2-704-8574, E-mail: kspe.editor@gmail.com

Copyright © The Korean Urological Oncology Society.

Developed in M2PI