Deep learning for assessing liver fibrosis based on acoustic nonlinearity maps: an in vivo study of rabbits

This study aimed to assess liver fibrosis in rabbits by deep learning models based on acoustic nonlinearity maps. Injection of carbon tetrachloride was used to induce liver fibrosis. Acoustic nonlinearity maps, which were built by data of echo signals, were used as input data for deep learning model...

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Veröffentlicht in:	Computer assisted surgery (Abingdon, England) England), 2022-12, Vol.27 (1), p.15-26
Hauptverfasser:	Song, Jinzhen, Yin, Hao, Huang, Jianbo, Wu, Zhenru, Wei, Chenchen, Qiu, Tingting, Luo, Yan
Format:	Artikel
Sprache:	eng
Schlagworte:	acoustic nonlinearity Acoustics Animals Deep Learning Fibrosis Humans Liver Liver cirrhosis Liver Cirrhosis - diagnostic imaging Liver Cirrhosis - pathology liver fibrosis Neural Networks, Computer Rabbits Support vector machines ultrasound
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