Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning

BACKGROUND: Hepatic steatosis is a major cause of chronic liver disease. Two-dimensional (2D) ultrasound is the most widely used non-invasive tool for screening and monitoring, but associated diagnoses are highly subjective. AIM: To develop a scalable deep learning (DL) algorithm for quantitative sc...

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Detalles Bibliográficos
Autores principales: Li, Bowen, Tai, Dar-In, Yan, Ke, Chen, Yi-Cheng, Chen, Cheng-Jen, Huang, Shiu-Feng, Hsu, Tse-Hwa, Yu, Wan-Ting, Xiao, Jing, Le, Lu, Harrison, Adam P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Observational Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258285/
https://www.ncbi.nlm.nih.gov/pubmed/35979264
http://dx.doi.org/10.3748/wjg.v28.i22.2494

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258285/
https://www.ncbi.nlm.nih.gov/pubmed/35979264
http://dx.doi.org/10.3748/wjg.v28.i22.2494

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