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.
Zhang et al. REF proposed a method for detecting skin tumor borders in clinical dermatology images using a radial search.
Border detection on digitized skin tumor images
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging
Computer Science Medicine Mathematics