title: Implementation of the 7-point checklist for melanoma detection on smart handheld devices.
abstract: In this paper we implement the 7-point checklist, a set of dermoscopic criteria widely used by clinicians for melanoma detection, on smart handheld devices, such as the Apple iPhone and iPad. The application developed is using sophisticated image processing and pattern recognition algorithms, yet it is light enough to run on a handheld device with limited memory and computational speed. When combined with a commercially available handheld dermoscope that provides proper lesion illumination, this application provides a truly self-contained handheld system for melanoma detection. Such a device can be used in a clinical setting for routine skin screening, or as an assistive diagnostic device in underserved areas and in developing countries with limited healthcare infrastructure.
authors.affiliation: Department of Computer Science, University of Houston, Houston, TX 77204-3058, USA.
authors.forename: Tarun
authors.initials: T
authors.lastname: Wadhawan
authors.forename: Ning
authors.initials: N
authors.lastname: Situ
authors.forename: Hu
authors.initials: H
authors.lastname: Rui
authors.forename: Keith
authors.initials: K
authors.lastname: Lancaster
authors.forename: Xiaojing
authors.initials: X
authors.lastname: Yuan
authors.forename: George
authors.initials: G
authors.lastname: Zouridakis
mesh_terms: D000465:Algorithms; D040421:Cell Phone; D006801:Humans; D008545:Melanoma / Q000175:diagnosis; D008838:Microcomputers