• DocumentCode
    3083252
  • Title

    An Internet-based melanoma screening system with acral volar lesion support

  • Author

    Iyatomi, Hitoshi ; Celebi, M. ; Oka, Hiroshi ; Tanaka, Masaru

  • Author_Institution
    Faculty of Engineering, Hosei University, 3-7-2 Kajinocho, Koganei, 184-8522, Tokyo, Japan
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    5156
  • Lastpage
    5159
  • Abstract
    In this paper, we present an Internet-based melanoma screening system that newly supports acral volar lesions. A half of Asian melanomas are from these areas and they show completely different appearance from other lesions. Our screening system is accessible from all over the world and diagnoses dermoscopy images within 3–5 sec based on a neural network classifier for non-acral lesions or newly integrated linear classifier for acral volar lesions. Our system achieves a sensitivity of 85.9% and a specificity of 86.0% on a set of 1258 non-acral dermoscopy images and a sensitivity of 93.3% and a specificity of 91.1% on a set of 199 acral volar dermoscopy images using a leave-one-out cross-validation.
  • Keywords
    Artificial neural networks; Biomedical imaging; Data mining; Hospitals; Internet; Lesions; Malignant tumors; Medical diagnostic imaging; Neural networks; Skin neoplasms; Algorithms; Artificial Intelligence; Dermoscopy; Hand; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Internet; Mass Screening; Melanoma; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Skin Neoplasms; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650375
  • Filename
    4650375