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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Detaylı Bibliyografya
Yayımlandı:Int J Comput Assist Radiol Surg
Asıl Yazarlar: Byra, Michał, Styczynski, Grzegorz, Szmigielski, Cezary, Kalinowski, Piotr, Michałowski, Łukasz, Paluszkiewicz, Rafał, Ziarkiewicz-Wróblewska, Bogna, Zieniewicz, Krzysztof, Sobieraj, Piotr, Nowicki, Andrzej
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Springer International Publishing 2018
Konular:
Original Article
Online Erişim: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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