Feasibility of ultrasound radiomics based models for classification of liver fibrosis due to Schistosoma japonicum infection.

Zhao-Yu GuoMiaomiao ZhaoZhenhua LiuJinxin ZhengYanfeng GongLulu HuangJingbo XueXiaonong ZhouShi-Zhu Li

Published in: PLoS neglected tropical diseases (2024)

Machine learning models based on ultrasound radiomics are feasible for classifying different stages of liver fibrosis caused by Schistosoma infection.

Keyphrases

liver fibrosis
machine learning
magnetic resonance imaging
lymph node metastasis
deep learning
contrast enhanced
artificial intelligence
ultrasound guided
contrast enhanced ultrasound
squamous cell carcinoma
computed tomography