• DocumentCode
    1776360
  • 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
  • fYear
    2014
  • fDate
    10-11 July 2014
  • Firstpage
    763
  • Lastpage
    766
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4799-4191-9
  • Type

    conf

  • DOI
    10.1109/ICCICCT.2014.6993061
  • Filename
    6993061