Artificial neural network aided non-invasive grading evaluation of hepatic fibrosis by duplex ultrasonography

BACKGROUND: Artificial neural networks (ANNs) are widely studied for evaluating diseases. This paper discusses the intelligence mode of an ANN in grading the diagnosis of liver fibrosis by duplex ultrasonogaphy. METHODS: 239 patients who were confirmed as having liver fibrosis or cirrhosis by ultras...

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Detalles Bibliográficos
Autores principales: Zhang, Li, LI, Qiao-ying, Duan, Yun-you, Yan, Guo-zhen, Yang, Yi-lin, Yang, Rui-jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444307/
https://www.ncbi.nlm.nih.gov/pubmed/22716936
http://dx.doi.org/10.1186/1472-6947-12-55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444307/
https://www.ncbi.nlm.nih.gov/pubmed/22716936
http://dx.doi.org/10.1186/1472-6947-12-55

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