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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Dettagli Bibliografici
Pubblicato in:Int J Comput Assist Radiol Surg
Autori principali: Byra, Michał, Styczynski, Grzegorz, Szmigielski, Cezary, Kalinowski, Piotr, Michałowski, Łukasz, Paluszkiewicz, Rafał, Ziarkiewicz-Wróblewska, Bogna, Zieniewicz, Krzysztof, Sobieraj, Piotr, Nowicki, Andrzej
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer International Publishing 2018
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Original Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6223753/
https://ncbi.nlm.nih.gov/pubmed/30094778
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-018-1843-2
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