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An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm

Hitoshi Iyatomi, Hiroshi Oka, M Emre Celebi, Masahiro Hashimoto, Masafumi Hagiwara, Masaru Tanaka, Koichi Ogawa
Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society 2008, 32 (7): 566-79
18703311
In this paper, we present an Internet-based melanoma screening system. Our web server is accessible from all over the world and performs the following procedures when a remote user uploads a dermoscopy image: separates the tumor area from the surrounding skin using highly accurate dermatologist-like tumor area extraction algorithm, calculates a total of 428 features for the characterization of the tumor, classifies the tumor as melanoma or nevus using a neural network classifier, and presents the diagnosis. Our system achieves a sensitivity of 85.9% and a specificity of 86.0% on a set of 1258 dermoscopy images using cross-validation.

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