Calculation of Apparent Diffusion Coefficients in Prostate Cancer Using Deep Learning Algorithms: A Pilot Study

Calculation of Apparent Diffusion Coefficients in Prostate Cancer Using Deep Learning Algorithms: A Pilot Study

BackgroundApparent diffusion coefficients (ADCs) obtained with diffusion-weighted imaging (DWI) are highly valuable for the detection and staging of prostate cancer and for assessing the response to treatment. However, DWI suffers from significant anatomic distortions and susceptibility artifacts, r...

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Bibliographic Details
Main Authors: Lei Hu, Da Wei Zhou, Cai Xia Fu, Thomas Benkert, Yun Feng Xiao, Li Ming Wei, Jun Gong Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
apparent diffusion coefficient
diffusion magnetic resonance imaging
deep learning
prostatic neoplasms
supervised machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.697721/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.697721/full

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