An Adapted Deep Convolutional Neural Network for Automatic Measurement of Pancreatic Fat and Pancreatic Volume in Clinical Multi-Protocol Magnetic Resonance Images: A Retrospective Study with Multi-Ethnic External Validation

Pancreatic volume and fat fraction are critical prognoses for metabolic diseases like type 2 diabetes (T2D). Magnetic Resonance Imaging (MRI) is a required non-invasive quantification method for the pancreatic fat fraction. The dramatic development of deep learning has enabled the automatic measurem...

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Detalles Bibliográficos
Autores principales: Yang, John Zhiyong, Zhao, Jichao, Nemati, Reza, Yin, Xavier, He, Kevin Haokun, Plank, Lindsay, Murphy, Rinki, Lu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687882/
https://www.ncbi.nlm.nih.gov/pubmed/36428558
http://dx.doi.org/10.3390/biomedicines10112991

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687882/
https://www.ncbi.nlm.nih.gov/pubmed/36428558
http://dx.doi.org/10.3390/biomedicines10112991

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