Automatic Detection of Irregular Borders in Melanoma and Other Skin Tumors

Abstract

An irregularity index previously developed is applied to detect irregular borders automatically in skin tumor images, particularly malignant melanoma. The irregularity index is used to classify various tumor borders as irregular or regular. This procedure processes tumor images with borders automatically determined by a radial search algorithm previously described. Potential use of this algorithm in an in vivo skin cancer detection system and errors expected in the use of the algorithm are discussed.

Department(s)

Chemistry

Second Department

Electrical and Computer Engineering

Sponsor(s)

National Science Foundation (U.S.). Small Business Innovation Research Program

Comments

This work was supported by a grant from the National Science Foundation Small Business Innovation Research Program: ISI 852 1284.

Keywords and Phrases

Biological Materials - Imaging Techniques; Biomedical Engineering - Computer Aided Diagnosis; Computer Programming - Algorithms; Expert Systems - Knowledge Bases; Image Processing - Image Analysis; Irregular Borders; Melanoma; Skin Tumors; Biological Materials; Algorithm; Article; Cancer Diagnosis; Computer Graphics; Dermatology; Diagnostic Accuracy; Diagnostic Imaging; Image Analysis; Luminance; Medical Photography; Medical Technology; Morphology; Priority Journal; Skin Cancer; Artificial Intelligence; Diagnosis, Computer-Assisted; Human; Skin Neoplasms; Support, U.S. Gov't, Non-P.H.S.; Boundary Detection; Computer Vision; Edge Detection; Irregularity; Radial Search

International Standard Serial Number (ISSN)

0895-6111; 1879-0771

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1992 Elsevier, All rights reserved.

Publication Date

01 May 1992

PubMed ID

1623495

Link to Full Text

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