Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images-Reference-Cited by-同舟云学术

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

Published:2018-08-09 Issue:12 Volume:13 Page:1895-1903
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Byra Michał^ORCID,Styczynski Grzegorz,Szmigielski Cezary,Kalinowski Piotr,Michałowski Łukasz,Paluszkiewicz Rafał,Ziarkiewicz-Wróblewska Bogna,Zieniewicz Krzysztof,Sobieraj Piotr,Nowicki Andrzej

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

http://link.springer.com/article/10.1007/s11548-018-1843-2/fulltext.html

Reference45 articles.

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5. Luapuadat AM, Jianu IR, Ungureanu BS, Florescu LM, Gheonea DI, Sovaila S, Gheonea IA (2017) Non-invasive imaging techniques in assessing non-alcoholic fatty liver disease: a current status of available methods. J Med Life 10:19–26

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