Title :
Survey on recent CAD system for liver disease diagnosis
Author :
Kumar, Sahoo Subhendu ; Devapal, Devi
Author_Institution :
Dept. of Electron. & Instrum. Eng., Noorul Islam Univ., Thuckalai, India
Abstract :
Computer Aided Diagnosis (CAD)systems provides computerized aid to medical practitioners that serves as a second opinion in the detection and diagnosis of diseases. Medical imaging modalities are the most effective non-invasive technique used for the classification of liver diseases. Imaging of abdominal organs for diagnosis of liver disease is usually carried out by Computed tomography. The computer aided diagnosis system consists of mainly four steps like preprocessing, segmentation, feature extraction, feature selection and classification. This article reviews the various recent CAD systems used for the classification of liver diseases using CT scan images and results of the various methods are summarized.
Keywords :
computerised tomography; diseases; feature extraction; feature selection; image classification; image segmentation; liver; medical image processing; CAD systems; CT scan images; abdominal organ imaging; computed tomography; computer aided diagnosis systems; feature extraction; feature selection; image preprocessing; image segmentation; liver disease classification; liver disease detection; liver disease diagnosis; medical imaging modalities; Computed tomography; Design automation; Feature extraction; Lesions; Liver diseases; CAD; Segmentation; classification;
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
DOI :
10.1109/ICCICCT.2014.6993061