首页|期刊导航|中华医学杂志(英文版)|Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis
中华医学杂志(英文版)2020,Vol.133Issue(22):2653-2659,7.DOI:10.1097/CM9.0000000000001113
Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis
Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis
摘要
关键词
Diffusion-weighted imaging/Liver fibrosis/Early-stage cirrhosis/Radiomics/Machine learningKey words
Diffusion-weighted imaging/Liver fibrosis/Early-stage cirrhosis/Radiomics/Machine learning引用本文复制引用
Qing-Tao Qiu,Jing Zhang,Jing-Hao Duan,Shi-Zhang Wu,Jia-Lin Ding,Yong Yin..Development and validation of radiomics model built by incorporating machine learning for identifying liver fibrosis and early-stage cirrhosis[J].中华医学杂志(英文版),2020,133(22):2653-2659,7.基金项目
This work was supported by grants from the Key Support Program of Natural Science Foundation of Shandong Province (No.ZR2019LZL017),the Taishan Scholars Project of Shandong Province (No.ts201712098),the National Natural Science Foundation of China (No.81901743),the WBE Liver Fibrosis Foundation (No.CFHPC2019027),and the Key Research and Development Program of Shandong Province (No.2019GSF108134). (No.ZR2019LZL017)