• DocumentCode
    2618599
  • Title

    Review on automatic early skin cancer detection

  • Author

    Hoshyar, Azadeh Noori ; Al-Jumaily, Adel ; Sulaiman, Riza

  • Author_Institution
    Dept. of Comput. Sci., Univ. Kebangsaan Malaysia, Bangi, Malaysia
  • fYear
    2011
  • fDate
    27-29 June 2011
  • Firstpage
    4036
  • Lastpage
    4039
  • Abstract
    Skin cancer is increasing in different countries especially in Australia. Early detection of skin cancer can treat melanoma successfully, therefore, curability and survival depends directly on removing melanoma in its early stages. Since clinical observations face to different fault for melanoma detection, the automatic diagnosis can help to increase the accuracy of detection. Reviewing the researches have done in skin cancer detection and providing the overview on automatic detection of skin cancer are the ultimate aims of this paper. It presents the literature on automatic skin cancer detection and describes the different steps of such process.
  • Keywords
    cancer; feature extraction; image segmentation; medical image processing; patient diagnosis; skin; Australia; automatic diagnosis; automatic early skin cancer detection; feature extraction; image segmentation; melanoma detection; melanoma treatment; Feature extraction; Image segmentation; Lesions; Malignant tumors; Skin; Skin cancer; automatic detection; cancer classification; cancer feature extraction; cancer segmentation; skin cancer detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Service System (CSSS), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9762-1
  • Type

    conf

  • DOI
    10.1109/CSSS.2011.5974581
  • Filename
    5974581