• DocumentCode
    677463
  • Title

    Using CAD systems and e-Learning in radiologists training

  • Author

    Suarez-Ortega, Cesar ; Franco-Valiente, Jose Miguel

  • Author_Institution
    CETA-CIEMAT, Madrid, Spain
  • fYear
    2013
  • fDate
    9-12 Oct. 2013
  • Firstpage
    172
  • Lastpage
    176
  • Abstract
    Breast cancer is one of the most diagnosed types of cancer. Early detection of breast cancer is the best practice to reduce its high mortality rate. Double reading is a common practice to avoid missed cancer cases during the lecture of mammograms. Due to the high cost of this technique and the lack of certified radiologists, computer-aided diagnosis systems have become very popular in the last decade. However, this technique is not perfect, and has some significant disadvantages, like higher recall rates.
  • Keywords
    biomedical education; cancer; computer based training; gynaecology; learning (artificial intelligence); mammography; medical computing; online front-ends; patient diagnosis; pattern classification; radiology; Aloe; BCDR; CAD systems; IMED project; MIWAD; MLC; REST service; Web frontend; auto-evaluation tools; breast cancer; certified radiologists; computer-aided diagnosis systems; doctors; machine learning classifiers; mammograms; medical education; mortality rate; radiologists training; self-assessment e-learning tools; Breast cancer; Design automation; Electronic learning; Medical diagnostic imaging; Radiology; CAD systems; breast cancer; cancer diagnosis; e-Learning; radiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4673-5800-2
  • Type

    conf

  • DOI
    10.1109/HealthCom.2013.6720661
  • Filename
    6720661