Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration-Reference-Cited by-同舟云学术

Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration

Published:2019-12 Issue: Volume:58 Page:101558
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Ghavami Nooshin^ORCID,Hu Yipeng^ORCID,Gibson Eli^ORCID,Bonmati Ester,Emberton Mark,Moore Caroline M.,Barratt Dean C.

Funder

Wellcome Trust

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference56 articles.

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