A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI

A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI

Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation of the prostate is a crucial step of CAD for prostate cancer, but visual inspect...

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Bibliographic Details
Main Authors: Mohammed R. S. Sunoqrot, Kirsten M. Selnæs, Elise Sandsmark, Gabriel A. Nketiah, Olmo Zavala-Romero, Radka Stoyanova, Tone F. Bathen, Mattijs Elschot
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Diagnostics
Subjects:
prostate
segmentation
deep learning
radiomics
quality control
computer-aided detection and diagnosis
Online Access:https://www.mdpi.com/2075-4418/10/9/714

Internet

https://www.mdpi.com/2075-4418/10/9/714

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