Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning

OBJECTIVES: To investigate the diagnostic performance of deep transfer learning (DTL) to detect liver cirrhosis from clinical MRI. METHODS: The dataset for this retrospective analysis consisted of 713 (343 female) patients who underwent liver MRI between 2017 and 2019. In total, 553 of these subject...

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Detalles Bibliográficos
Autores principales: Nowak, Sebastian, Mesropyan, Narine, Faron, Anton, Block, Wolfgang, Reuter, Martin, Attenberger, Ulrike I., Luetkens, Julian A., Sprinkart, Alois M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523404/
https://www.ncbi.nlm.nih.gov/pubmed/33974149
http://dx.doi.org/10.1007/s00330-021-07858-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523404/
https://www.ncbi.nlm.nih.gov/pubmed/33974149
http://dx.doi.org/10.1007/s00330-021-07858-1

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