Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison.

ABSTRACT: Early detection of liver malignancy based on medical image analysis plays a crucial role in patient prognosis and personalized treatment. This task, however, is challenging due to several factors, including medical data scarcity and limited training samples. This paper presents a study of three important aspects of radiomics feature from multiphase computed tomography (CT) for classifying hepatocellular carcinoma (HCC) and other focal liver lesions: wavelet-transformed feature extraction, relevant feature selection, and radiomics features-based classification under the inadequate training samples. Our analysis shows that combining radiomics features extracted from the wavelet and original CT domains enhance the classification performance significantly, compared with using those extracted f

SUBMITTER: Tang VH 

PROVIDER: S-EPMC10638447 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature