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

BACKGROUND: The 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. OBJEC...

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Detalles Bibliográficos
Autores principales: Rauseo, Elisa, Omer, Muhammad, Amir-Khalili, Alborz, Sojoudi, Alireza, Le, Thu-Thao, Cook, Stuart Alexander, Hausenloy, Derek John, Ang, Briana, Toh, Desiree-Faye, Bryant, Jennifer, Chin, Calvin Woon Loong, Paiva, Jose Miguel, Fung, Kenneth, Cooper, Jackie, Khanji, Mohammed Yunus, Aung, Nay, Petersen, Steffen Erhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886212/
https://www.ncbi.nlm.nih.gov/pubmed/35242820
http://dx.doi.org/10.3389/fcvm.2021.816985

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886212/
https://www.ncbi.nlm.nih.gov/pubmed/35242820
http://dx.doi.org/10.3389/fcvm.2021.816985

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