Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

PURPOSE: The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic tissue samples. In this paper we propose a neural network-based approach for nonalcoholic fatty liver disease as...

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Detalles Bibliográficos
Autores principales: Byra, Michał, Styczynski, Grzegorz, Szmigielski, Cezary, Kalinowski, Piotr, Michałowski, Łukasz, Paluszkiewicz, Rafał, Ziarkiewicz-Wróblewska, Bogna, Zieniewicz, Krzysztof, Sobieraj, Piotr, Nowicki, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223753/
https://www.ncbi.nlm.nih.gov/pubmed/30094778
http://dx.doi.org/10.1007/s11548-018-1843-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223753/
https://www.ncbi.nlm.nih.gov/pubmed/30094778
http://dx.doi.org/10.1007/s11548-018-1843-2

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