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

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.

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