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Abstract #0334

Imaging-based Hepatic fibrosis staging of patients with hepatitis B: a radiomics analysis study on Gd-EOB-DTPA-enhanced MRI

Rencheng Zheng1, Tian Qiu2, Nannan Shi2, Yuxin Shi2, Weibo Chen3, Chengyan Wang4, and He Wang4,5
1Fudan University, Shanghai, China, 2ShanghaiPublic Health Clinical Center, Shanghai, China, 3Philips Healthcare, Shanghai, China, 4Human Phenome Institute, Fudan University, Shanghai, China, 5Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

This study proposed an automatic hepatic fibrosis staging model based on transfer learning segmentation and radiomics analysis for hepatitis B patients. The automatic liver ROI extarction Time dimension features of multi DCE phases were included in feature set which played an important role in the classification. The proposed model exhibited a superior performance in significant fibrosis, advanced fibrosis and cirrhosis classification.

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