Automatic Detection of Irregular Borders in Melanoma and Other Skin Tumors
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.
J. E. Golston et al., "Automatic Detection of Irregular Borders in Melanoma and Other Skin Tumors," Computerized Medical Imaging and Graphics, vol. 16, no. 3, pp. 199-203, Elsevier, May 1992.
The definitive version is available at https://doi.org/10.1016/0895-6111(92)90074-J
Electrical and Computer Engineering
National Science Foundation (U.S.). Small Business Innovation Research Program
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)
Article - Journal
© 1992 Elsevier, All rights reserved.