Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers
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摘要
ObjectivesThe aim of the present study is to define an optimally performing computer-aided diagnosis (CAD) architecture for the classification of liver tissue from non-enhanced computed tomography (CT) images into normal liver (C1), hepatic cyst (C2), hemangioma (C3), and hepatocellular carcinoma (C4). To this end, various CAD architectures, based on texture features and ensembles of classifiers (ECs), are comparatively assessed.
论文关键词：Liver CT images,Computer-aided diagnosis,Texture features,Ensembles of classifiers,Genetic algorithms,Bootstrap,Feature selection
论文评审过程：Received 9 January 2007, Revised 16 May 2007, Accepted 22 May 2007, Available online 12 July 2007.
论文官网地址：https://doi.org/10.1016/j.artmed.2007.05.002
