Automatic Detection of Asymmetry in Skin Tumors
Asymmetry, a critical feature in the diagnosis of malignant melanoma, is analyzed using a new algorithm to find a major axis of asymmetry and calculate the degree of asymmetry of the tumor outline. The algorithm provides a new objective definition of asymmetry. A dermatologist classified 86 tumors as symmetric or asymmetric. Borders of tumors were found either manually or automatically using a radial search method. With either method, asymmetry determination by the asymmetry algorithm agreed with the dermatologist's determination of asymmetry in about 93% of cases.
W. V. Stoecker et al., "Automatic Detection of Asymmetry in Skin Tumors," Computerized Medical Imaging and Graphics, vol. 16, no. 3, pp. 191-197, Elsevier, May 1992.
The definitive version is available at https://doi.org/10.1016/0895-6111(92)90073-I
Electrical and Computer Engineering
National Science Foundation (U.S.). Small Business Innovation Research Program
Keywords and Phrases
Biomedical Engineering - Computer Aided Diagnosis; Computer Programming - Algorithms; Expert Systems - Knowledge Bases; Image Processing - Medical Applications; Dermatology; Malignant Melanoma; Skin Tumor Asymmetry; Biological Materials; Algorithm; Article; Cancer Classification; Cancer Diagnosis; Clinical Feature; Computer Graphics; Diagnostic Imaging; Image Analysis; Mathematical Analysis; Medical Technology; Melanoma; Morphology; Priority Journal; Skin Cancer; Skin Pigmentation; Diagnosis, Computer-Assisted; Human; Image Processing, Computer-Assisted; Skin Neoplasms; Support, U.S. Gov't, Non-P.H.S.; Asymmetry; Computer Diagnosis; Skin Imaging; Symmetry Analysis
International Standard Serial Number (ISSN)
Article - Journal
© 1992 Elsevier, All rights reserved.