Electrical Impedance Tomography-Based Abdominal Subcutaneous Fat Estimation Method Using Deep Learning

This paper proposes a deep learning method based on electrical impedance tomography (EIT) to estimate the thickness of abdominal subcutaneous fat. EIT for evaluating the thickness of abdominal subcutaneous fat is an absolute imaging problem that aims at reconstructing conductivity distributions from...

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Detalles Bibliográficos
Autores principales: Lee, Kyounghun, Yoo, Minha, Jargal, Ariungerel, Kwon, Hyeuknam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305546/
https://www.ncbi.nlm.nih.gov/pubmed/32587631
http://dx.doi.org/10.1155/2020/9657372

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305546/
https://www.ncbi.nlm.nih.gov/pubmed/32587631
http://dx.doi.org/10.1155/2020/9657372

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