title: An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm.
abstract: 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.
authors.affiliation: Department of Electronic Informatics, Hosei University Faculty of Engineering, Japan. iyatomi@hosei.ac.jp
authors.forename: Hitoshi
authors.initials: H
authors.lastname: Iyatomi
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Oka
authors.forename: M Emre
authors.initials: ME
authors.lastname: Celebi
authors.forename: Masahiro
authors.initials: M
authors.lastname: Hashimoto
authors.forename: Masafumi
authors.initials: M
authors.lastname: Hagiwara
authors.forename: Masaru
authors.initials: M
authors.lastname: Tanaka
authors.forename: Koichi
authors.initials: K
authors.lastname: Ogawa
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D046169:Dermoscopy / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D020407:Internet; D008403:Mass Screening / Q000379:methods; D008545:Melanoma / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019114:Remote Consultation / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012878:Skin Neoplasms / Q000473:pathology*