Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images

Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images

Prostate segmentation in multiparametric magnetic resonance imaging (mpMRI) can help to support prostate cancer diagnosis and therapy treatment. However, manual segmentation of the prostate is subjective and time-consuming. Many deep learning monomodal networks have been developed for automatic whol...

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Bibliographic Details
Main Authors: Ying-Hwey Nai, Bernice W. Teo, Nadya L. Tan, Koby Yi Wei Chua, Chun Kit Wong, Sophie O’Doherty, Mary C. Stephenson, Josh Schaefferkoetter, Yee Liang Thian, Edmund Chiong, Anthonin Reilhac
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2020/8861035

Internet

http://dx.doi.org/10.1155/2020/8861035

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