• DocumentCode
    134654
  • Title

    SKINcure: A real time image analysis system to aid in the malignant melanoma prevention and early detection

  • Author

    Abuzaghleh, Omar ; Barkana, Buket D. ; Faezipour, Miad

  • Author_Institution
    Univ. of Bridgeport, Bridgeport, CT, USA
  • fYear
    2014
  • fDate
    6-8 April 2014
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    Melanoma incidence rates have been increasing for the past three decades. The most important risk factor for Melanoma skin cancer is unprotected exposure to UV radiation. However, early diagnosis of malignant melanoma increases the chances for cure significantly. Therefore a real time image analysis system to aid in the malignant melanoma prevention and early detection is highly in-demand. In this paper, we propose a real time image analysis system to aid in the malignant melanoma prevention and early detection. We present an image recognition technique, where the user will be able to capture skin images of different mole types. Our system will analyze and process the images and alert the user at real-time to seek medical help urgently. This work introduces convenient steps for automating the process of melanoma prevention and detection. Experimental results on a PH2 dermoscopy research database images confirms the efficiency of our system.
  • Keywords
    cancer; image recognition; medical image processing; skin; PH2 dermoscopy research database image; SKINcure; UV radiation; image recognition; malignant melanoma early detection; malignant melanoma prevention; melanoma incidence rate; melanoma skin cancer; real time image analysis system; risk factor; Benchmark testing; Cancer; Fourier transforms; Indexes; Medical diagnostic imaging; Standards; Image segmentation; lesion classifier; melanoma recognition; skin cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SSIAI.2014.6806035
  • Filename
    6806035