Deep Learning Analysis of Echocardiographic Images to Predict Positive Genotype in Patients With Hypertrophic Cardiomyopathy

Morita, S. X., Kusunose, K., Haga, A., Sata, M., Hasegawa, K., Raita, Y., Reilly, M. P., Fifer, M. A., Maurer, M. S., & Shimada, Y. J. (2021). Deep Learning Analysis of Echocardiographic Images to Predict Positive Genotype in Patients With Hypertrophic Cardiomyopathy. Frontiers in Cardiovascular Medicine, 8. https://doi.org/10.3389/fcvm.2021.669860
Authors:
Sae X Morita
Kenya Kusunose
Akihiro Haga
Masataka Sata
Kohei Hasegawa
Yoshihiko Raita
Muredach P Reilly
Michael A Fifer
Mathew S Maurer
Yuichi J Shimada
Affiliated Authors:
Sae X Morita
Muredach P Reilly
Mathew S Maurer
Yuichi J Shimada
Columbia Affiliation:
Subjects:
Diagnosis and Management of Hypertrophic Cardiomyopathy (OpenAlex Topic)
Molecular Mechanisms of Cardiac Development and Regeneration (OpenAlex Topic)
Recommendations for Cardiac Chamber Quantification by Echocardiography (OpenAlex Topic)
Author Keywords:
hypertrophic cardiomyopathy
echocardiography
deep learning
genotype
prediction
elink
Publication Type:
Article
Unique ID:
10.3389/fcvm.2021.669860
PMID:
34513940
DOI:
10.3389/fcvm.2021.669860
Journal:
Frontiers in Cardiovascular Medicine
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View Web of Science Record
View OpenAlex Record

Record Created: