Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm-Reference-Cited by-同舟云学术

Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm

Published:2018-06-07 Issue:3 Volume:122 Page:411-417
ISSN:1464-4096
Container-title:BJU International
language:en
Short-container-title:BJU Int

Author:

Ishioka Junichiro¹^ORCID,Matsuoka Yoh¹,Uehara Sho¹,Yasuda Yosuke¹,Kijima Toshiki¹,Yoshida Soichiro¹,Yokoyama Minato¹,Saito Kazutaka¹^ORCID,Kihara Kazunori¹,Numao Noboru²,Kimura Tomo³,Kudo Kosei⁴,Kumazawa Itsuo⁵,Fujii Yasuhisa¹

Affiliation:

1. Department of Urology; Tokyo Medical and Dental University Graduate School; Tokyo Japan

2. Department of Urology; Cancer Institute Hospital; Japanese Foundation for Cancer Research; Tokyo Japan

3. Department of Radiology; Ochanomizu Surugadai Clinic; Tokyo Japan

4. Department of Information and Communication Engineering; Tokyo Institute of Technology; Tokyo Japan

5. Laboratory for Future Interdisciplinary Research of Science and Technology; Tokyo Institute of Innovative Research; Tokyo Japan

Publisher

Wiley

Subject

Urology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/bju.14397/fullpdf

Reference27 articles.

1. Mottet N Bellmunt J Briers E et al. EAU - ESTRO - ESUR - SIOG Guidelines on Prostate Cancer http://uroweb.org/guideline/prostate-cancer/

2. PI-RADS prostate imaging-reporting and data system: 2015, version 2;Weinreb;Eur Urol,2016

3. Characteristics and clinical significance of prostate cancers missed by initial transrectal 12-core biopsy;Numao;BJU Int,2012

4. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study;Ahmed;Lancet,2017

5. Interobserver reproducibility of the PI-RADS version 2 lexicon: a multicenter study of six experienced prostate radiologists;Rosenkrantz;Radiology,2016

Cited by 94 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of artificial intelligence in the diagnosis and treatment of urinary tumors;Frontiers in Oncology;2024-08-12

2. Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI;Radiology;2024-08-01

3. Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes;American Society of Clinical Oncology Educational Book;2024-06

4. Catalyzing Precision Medicine: Artificial Intelligence Advancements in Prostate Cancer Diagnosis and Management;Cancers;2024-05-09

5. T2-weighted imaging-based deep-learning method for noninvasive prostate cancer detection and Gleason grade prediction: a multicenter study;Insights into Imaging;2024-05-07