Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis

OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning. MATERIALS AND METHODS: This prospective study consisted of 144 patients with chronic hepatitis B. Ultrasomics—high-throughput quantitative data from ultrasound imaging of liver fibrosis—were g...

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Detalles Bibliográficos
Autores principales: Li, Wei, Huang, Yang, Zhuang, Bo-Wen, Liu, Guang-Jian, Hu, Hang-Tong, Li, Xin, Liang, Jin-Yu, Wang, Zhu, Huang, Xiao-Wen, Zhang, Chu-Qing, Ruan, Si-Min, Xie, Xiao-Yan, Kuang, Ming, Lu, Ming-De, Chen, Li-Da, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Ultrasound
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510867/
https://www.ncbi.nlm.nih.gov/pubmed/30178143
http://dx.doi.org/10.1007/s00330-018-5680-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510867/
https://www.ncbi.nlm.nih.gov/pubmed/30178143
http://dx.doi.org/10.1007/s00330-018-5680-z

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