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
Recommended Citation
Z. Zhang et al., "Border Detection on Digitized Skin Tumor Images," IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers (IEEE), Jan 2000.
The definitive version is available at https://doi.org/10.1109/42.896789
Meeting Name
IEEE Industry Applications Conference 41st IAS Annual Meeting, 2006
Department(s)
Chemistry
Second Department
Electrical and Computer Engineering
Keywords and Phrases
Algorithm; Blind-Spot Problem; Border Detection; Clinical Dermatology Images; Digitized Skin Tumor Images; Edge Detection; Knowledge-Based Tracking; Medical Diagnostic Imaging; Medical Image Processing; Radial Search Technique; Real Clinical Images; Rescan; Second-Round Search; Skin; Tumours
International Standard Serial Number (ISSN)
0278-0062
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2000
