Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

OBJECTIVE: We aimed to evaluate the performance of the newly developed deep learning Radiomics of elastography (DLRE) for assessing liver fibrosis stages. DLRE adopts the radiomic strategy for quantitative analysis of the heterogeneity in two-dimensional shear wave elastography (2D-SWE) images. DESI...

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Detalles Bibliográficos
Autores principales: Wang, Kun, Lu, Xue, Zhou, Hui, Gao, Yongyan, Zheng, Jian, Tong, Minghui, Wu, Changjun, Liu, Changzhu, Huang, Liping, Jiang, Tian’an, Meng, Fankun, Lu, Yongping, Ai, Hong, Xie, Xiao-Yan, Yin, Li-ping, Liang, Ping, Tian, Jie, Zheng, Rongqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Hepatology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580779/
https://www.ncbi.nlm.nih.gov/pubmed/29730602
http://dx.doi.org/10.1136/gutjnl-2018-316204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580779/
https://www.ncbi.nlm.nih.gov/pubmed/29730602
http://dx.doi.org/10.1136/gutjnl-2018-316204

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