• DocumentCode
    1696646
  • Title

    Ontology-based mammography annotation for breast cancer diagnosis

  • Author

    Ilyass, Hrich ; Mohamed, Farss Sidi ; Diop, Idy ; Tarik, Jahid

  • Author_Institution
    Med. Imaging & BioInformatic Lab., Ecole Super. Polytech., Dakar, Senegal
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes a Using of ontologies in the context of medical imaging: breast cancer, we first propose the construction of domain ontology about the disease of breast cancer. Then, the annotation of images on breast cancer by the concepts of our ontology, allowing their semantic interpretations. We chose to establish the endorsement of a semi-automatic manner using "PhotoStuff" which is a tool based on a library of Java classes called Jena; the result of the annotation is metadata RDF.
  • Keywords
    cancer; mammography; medical image processing; meta data; ontologies (artificial intelligence); Java classes; Jena; PhotoStuff; breast cancer diagnosis; domain ontology; mammography annotation; medical imaging; metadata RDF; semantic interpretations; Breast cancer; Diseases; Medical diagnostic imaging; Ontologies; Breast; DICOM Breast Cancer; OWL; Ontology; RDF; XML; metadata; semantic annotation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Applications and Networking (WSWAN), 2015 2nd World Symposium on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-8171-7
  • Type

    conf

  • DOI
    10.1109/WSWAN.2015.7210316
  • Filename
    7210316