Urinary bladder cancer staging in CT urography using machine learning-Reference-Cited by-同舟云学术

Urinary bladder cancer staging in CT urography using machine learning

Published:2017-09-05 Issue:11 Volume:44 Page:5814-5823
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Garapati Sankeerth S.¹,Hadjiiski Lubomir¹,Cha Kenny H.¹,Chan Heang-Ping¹,Caoili Elaine M.¹,Cohan Richard H.¹,Weizer Alon²,Alva Ajjai³,Paramagul Chintana¹,Wei Jun¹,Zhou Chuan¹

Affiliation:

1. Department of Radiology; The University of Michigan; Ann Arbor MI 48109 USA

2. Department of Urology; Comprehensive Cancer Center; The University of Michigan; Ann Arbor MI 48109 USA

3. Department of Internal Medicine, Hematology-Oncology; The University of Michigan; Ann Arbor MI 48109 USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Reference36 articles.

1. Bladder Cancer Advocacy Network www.bcan.org/facts 2017

2. Diagnosis and treatment of non-muscle invasive bladder cancer: AUA/SUO guideline;Chang;J Urol,2016

3. Witjes JA Comperat E Cowan NC Guidelines on muscle-invasive and metastatic bladder cancer, European association of urology 2016

4. Babjuk M Bohle A Burger M Guidelines on Non-muscle-invasive Bladder Cancer (Ta, T1 and CIS), European Association of Urology 2016

Cited by 92 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. LIG1 is a novel marker for bladder cancer prognosis: evidence based on experimental studies, machine learning and single-cell sequencing;Frontiers in Immunology;2024-08-21

2. Artificial intelligence in urology: a technology with transformative potential;Trends in Urology & Men's Health;2024-08-13

3. The accuracy and quality of image-based artificial intelligence for muscle-invasive bladder cancer prediction;Insights into Imaging;2024-08-01

4. Machine learning‐based CT radiomics enhances bladder cancer staging predictions: A comparative study of clinical, radiomics, and combined models;Medical Physics;2024-07-08

5. Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation;Medical Image Analysis;2024-07