Deep learning-based automated quantification of the hepatorenal index for evaluation of fatty liver by ultrasonography

PURPOSE: The aim of this study was to develop and validate a fully-automatic quantification of the hepatorenal index (HRI) calculated by a deep convolutional neural network (DCNN) comparable to the interpretations of radiologists experienced in ultrasound (US) imaging. METHODS: In this retrospective...

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Detalles Bibliográficos
Autores principales: Cha, Dong Ik, Kang, Tae Wook, Min, Ji Hye, Joo, Ijin, Sinn, Dong Hyun, Ha, Sang Yun, Kim, Kyunga, Lee, Gunwoo, Yi, Jonghyon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Ultrasound in Medicine 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446496/
https://www.ncbi.nlm.nih.gov/pubmed/33966363
http://dx.doi.org/10.14366/usg.20179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446496/
https://www.ncbi.nlm.nih.gov/pubmed/33966363
http://dx.doi.org/10.14366/usg.20179

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