title: Border detection on digitized skin tumor images.
abstract: A radial search technique is presented for detecting skin tumor borders in clinical dermatology images. First, it includes two rounds of radial search based on the same tumor center. The first-round search is independent, and the second-round search is knowledge-based tracking. Then a rescan with a new center is used to solve the blind-spot problem. The algorithm is tested on model images with excellent performance, and on 300 real clinical images with a satisfactory result.
authors.affiliation: Department of Engineering Technology, Missouri Western State College, St. Joseph 64507, USA. zhang@mwsc.edu
authors.forename: Z
authors.initials: Z
authors.lastname: Zhang
authors.forename: W V
authors.initials: WV
authors.lastname: Stoecker
authors.forename: R H
authors.initials: RH
authors.lastname: Moss
mesh_terms: D006801:Humans; D012815:Signal Processing, Computer-Assisted; D012878:Skin Neoplasms / Q000473:pathology*