Texture features from computed tomography correlate with markers of severity in acute alcohol-associated hepatitis

The aim of this study was to use texture analysis to establish quantitative CT-based imaging features to predict clinical severity in patients with acute alcohol-associated hepatitis (AAH). A secondary aim was to compare the performance of texture analysis to deep learning. In this study, mathematic...

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Detalles Bibliográficos
Autores principales: Tana, Michele M., McCoy, David, Lee, Briton, Patel, Roshan, Lin, Joseph, Ohliger, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578052/
https://www.ncbi.nlm.nih.gov/pubmed/33087739
http://dx.doi.org/10.1038/s41598-020-74599-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578052/
https://www.ncbi.nlm.nih.gov/pubmed/33087739
http://dx.doi.org/10.1038/s41598-020-74599-4

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