• DocumentCode
    2094904
  • Title

    Imagistic Database for Medical e-Learning

  • Author

    Stanescu, Liana ; Burdescu, Dan ; Ion, Anca ; Panus, Andrei

  • Author_Institution
    Univ. of Craiova, Craiova
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    427
  • Lastpage
    429
  • Abstract
    The paper presents the multimedia component included in TESYS, a medical e-learning platform that is used nowadays at the University of Medicine and Pharmacy Craiova at disciplines like gastroenterology and urology in order to complete the traditional medical learning process. The multimedia component contains a database with color medical images acquired by the teachers from different patients in the diagnosis process, so represent real cases. A series of alphanumerical information: diagnosis, treatment and patient evolution are added for each image. The multimedia component together with modern search methods: content-based image query and content-based region query is used both in the training process and e-testing one. The content-based visual query uses characteristics that are automatically extracted from medical images (color, texture, regions). Using content-based visual query with other access methods (text-based, hierarchical methods) on a teaching image database allows students to see images and associated information from database in a simple and direct manner. This method stimulates learning, by comparing similar cases along with their particularities, or by comparing cases that are visually similar, but with different diagnoses.
  • Keywords
    biomedical education; computer aided instruction; content-based retrieval; image colour analysis; image retrieval; medical image processing; multimedia databases; visual databases; TESYS; University of Medicine and Pharmacy Craiova; associated information; color medical images; content- based region query; content-based image query; diagnosis process; gastroenterology; imagistic database; medical e-learning; medical learning process; multimedia component; urology; Biomedical imaging; Color; Data mining; Education; Electronic learning; Image databases; Medical diagnostic imaging; Medical treatment; Multimedia databases; Search methods; hybrid learning; imagistic database; medical e-learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
  • Conference_Location
    Jyvaskyla
  • ISSN
    1063-7125
  • Print_ISBN
    978-0-7695-3165-6
  • Type

    conf

  • DOI
    10.1109/CBMS.2008.38
  • Filename
    4562030