• DocumentCode
    1748977
  • Title

    Automatic extraction of tumors by using neural computation

  • Author

    Ichihara, A. ; Mitsukura, Y. ; Fukumi, M. ; Akamatsu, N. ; Yasutomo, M.

  • Author_Institution
    Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2981
  • Abstract
    Automatic extraction of tumors is needed in a medical field. A 3D image is composed of the sequence of 2D CT images. The extraction of a liver field is difficult, because the CT images include various internal organs. In this paper, an improved active net is proposed to analyze the information of CT images. It is shown this method has the ability as a pre-processing system for extraction of liver tumors
  • Keywords
    computerised tomography; feature extraction; image sequences; medical image processing; neural nets; stereo image processing; tumours; 2D CT images; 3D images; computerised tomography; feature extraction; image sequences; neural networks; tumors; Biomedical imaging; Computed tomography; Computer simulation; Data mining; Image segmentation; Information science; Liver neoplasms; Lung neoplasms; Pixel; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7044-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2001.938852
  • Filename
    938852
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1748977