Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRI

OBJECTIVE: We aimed to develop and test a deep learning algorithm (DLA) for fully automated measurement of the volume and signal intensity (SI) of the liver and spleen using gadoxetic acid-enhanced hepatobiliary phase (HBP)-magnetic resonance imaging (MRI) and to evaluate the clinical utility of DLA...

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Detalles Bibliográficos
Autores principales: Park, Hyo Jung, Yoon, Jee Seok, Lee, Seung Soo, Suk, Heung-Il, Park, Bumwoo, Sung, Yu Sub, Hong, Seung Baek, Ryu, Hwaseong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Gastrointestinal Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240292/
https://www.ncbi.nlm.nih.gov/pubmed/35434977
http://dx.doi.org/10.3348/kjr.2021.0892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240292/
https://www.ncbi.nlm.nih.gov/pubmed/35434977
http://dx.doi.org/10.3348/kjr.2021.0892

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