Differential diagnosis of hepatocellular carcinoma and hepatic hemangioma based on maximum wavelet-coefficient statistics: Novel radiomics features from plain CT
作者：
Highlights：
• A novel radiomics technique to differentially diagnose HCC and hepatic hemangioma.
• Extracting features from plain CT to represent histopathological characteristics.
• Achieved state-of-the-art performance in radiomics diagnoses of HCC and hemangioma.
• Exploration of the associations between the features and histopathological characteristics.
• The features can highlight histopathological differences and enhanced diagnosability.
摘要
•A novel radiomics technique to differentially diagnose HCC and hepatic hemangioma.•Extracting features from plain CT to represent histopathological characteristics.•Achieved state-of-the-art performance in radiomics diagnoses of HCC and hemangioma.•Exploration of the associations between the features and histopathological characteristics.•The features can highlight histopathological differences and enhanced diagnosability.
论文关键词：Medical image processing,Radiomics,Computer vision,Wavelet representation,Liver tumor,Feature engineering
论文评审过程：Received 27 January 2022, Revised 25 May 2022, Accepted 23 July 2022, Available online 5 August 2022, Version of Record 5 August 2022.
论文官网地址：https://doi.org/10.1016/j.ipm.2022.103046
