A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms

A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation Algorithms

BackgroundThe quantitative measures used to assess the performance of automated methods often do not reflect the clinical acceptability of contouring. A quality-based assessment of automated cardiac magnetic resonance (CMR) segmentation more relevant to clinical practice is therefore needed.Objectiv...

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Bibliographic Details
Main Authors: Elisa Rauseo, Muhammad Omer, Alborz Amir-Khalili, Alireza Sojoudi, Thu-Thao Le, Stuart Alexander Cook, Derek John Hausenloy, Briana Ang, Desiree-Faye Toh, Jennifer Bryant, Calvin Woon Loong Chin, Jose Miguel Paiva, Kenneth Fung, Jackie Cooper, Mohammed Yunus Khanji, Nay Aung, Steffen Erhard Petersen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiac magnetic resonance (CMR)
cardiac segmentation
machine learning
automated contouring
quality control
assessment
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.816985/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2021.816985/full

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