• DocumentCode
    3074251
  • Title

    A new method based on both fuzzy set and possibility theories for tumor volume segmentation on PET images

  • Author

    Dewalle-Vignion, A.S. ; Betrouni, N. ; Makni, N. ; Huglo, D. ; Rousseau, J. ; Vermandel, Maximilien

  • Author_Institution
    Inserm, U703, University Hospital of Lille, France
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    3122
  • Lastpage
    3125
  • Abstract
    A new automatic method for tumor volume segmentation on PET images has been developed. The method introduced in this paper is based on previous works in MRA segmentation and involves both fuzzy set and possibility theories. Visual results prove the method efficiency which is confirmed by obtained Jaccard index.
  • Keywords
    Cancer; Fusion power generation; Fuzzy set theory; Fuzzy sets; Hospitals; Image segmentation; Neoplasms; Nuclear medicine; Positron emission tomography; Possibility theory; Algorithms; Automation; Carcinoma, Hepatocellular; Diagnosis, Computer-Assisted; Fuzzy Logic; Humans; Image Enhancement; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Liver Neoplasms; Models, Theoretical; Neoplasms; Positron-Emission Tomography; Probability; Reproducibility of Results;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649865
  • Filename
    4649865
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3074251