Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning

OBJECTIVE: To evaluate the accuracy of a deep learning-based automated segmentation of the left ventricle (LV) myocardium using cardiac CT. MATERIALS AND METHODS: To develop a fully automated algorithm, 100 subjects with coronary artery disease were randomly selected as a development set (50 trainin...

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Detalles Bibliográficos
Autores principales: Koo, Hyun Jung, Lee, June-Goo, Ko, Ji Yeon, Lee, Gaeun, Kang, Joon-Won, Kim, Young-Hak, Yang, Dong Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2020
Materias:
Cardiovascular Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231613/
https://www.ncbi.nlm.nih.gov/pubmed/32410405
http://dx.doi.org/10.3348/kjr.2019.0378

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231613/
https://www.ncbi.nlm.nih.gov/pubmed/32410405
http://dx.doi.org/10.3348/kjr.2019.0378

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