Diagnotic support system of melanoma based on morphological features

Toshiyuki Tanaka, Reina Yamada, Michiko Tanaka, Kunio Shimizu, Masaru Tanaka

Research output: Contribution to journalArticlepeer-review


At present the diagnosis of melanoma is mainly performed based on the experience of each doctor. They need some objective measure for diagnosis of melanoma and nevus. But there are few researches on index for the diagnosis. This study deals with features of melanoma and nevus for computer diagnosis. First, we extracted the contour of lesions by image processing. One hundred five values of features were computed based on ABCD-rule. Discriminant analysis showed the accuracy of 96.0% (Specificity of 98.3% and the Sensitivity of 90.0%). The results obviously showed the difference between melanoma and nevus.

Original languageEnglish
Pages (from-to)330-337
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number3
Publication statusPublished - 2007


  • Benign nevus
  • Discriminant analysis
  • Image processing
  • Melanoma

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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