Machine learning prediction of prostate cancer from transrectal ultrasound video clips

Machine learning prediction of prostate cancer from transrectal ultrasound video clips

ObjectiveTo build a machine learning (ML) prediction model for prostate cancer (PCa) from transrectal ultrasound video clips of the whole prostate gland, diagnostic performance was compared with magnetic resonance imaging (MRI).MethodsWe systematically collated data from 501 patients—276 with prosta...

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Bibliographic Details
Main Authors: Kai Wang, Peizhe Chen, Bojian Feng, Jing Tu, Zhengbiao Hu, Maoliang Zhang, Jie Yang, Ying Zhan, Jincao Yao, Dong Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence
prostate cancer
ultrasound
machine learning
support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.948662/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.948662/full

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