Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber Ultrasounds

BACKGROUND: With the increase of highly portable, wireless, and low‐cost ultrasound devices and automatic ultrasound acquisition techniques, an automated interpretation method requiring only a limited set of views as input could make preliminary cardiovascular disease diagnoses more accessible. In t...

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Detalles Bibliográficos
Autores principales: Cheng, Li‐Hsin, Bosch, Pablo B. J., Hofman, Rutger F. H., Brakenhoff, Timo B., Bruggemans, Eline F., van der Geest, Rob J., Holman, Eduard R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496317/
https://www.ncbi.nlm.nih.gov/pubmed/35929465
http://dx.doi.org/10.1161/JAHA.121.024168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496317/
https://www.ncbi.nlm.nih.gov/pubmed/35929465
http://dx.doi.org/10.1161/JAHA.121.024168

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