Clinical Value of Information Entropy Compared with Deep Learning for Ultrasound Grading of Hepatic Steatosis

Entropy is a quantitative measure of signal uncertainty and has been widely applied to ultrasound tissue characterization. Ultrasound assessment of hepatic steatosis typically involves a backscattered statistical analysis of signals based on information entropy. Deep learning extracts features for c...

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Detalles Bibliográficos
Autores principales: Chen, Jheng-Ru, Chao, Yi-Ping, Tsai, Yu-Wei, Chan, Hsien-Jung, Wan, Yung-Liang, Tai, Dar-In, Tsui, Po-Hsiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597079/
https://www.ncbi.nlm.nih.gov/pubmed/33286775
http://dx.doi.org/10.3390/e22091006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597079/
https://www.ncbi.nlm.nih.gov/pubmed/33286775
http://dx.doi.org/10.3390/e22091006

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