Applying artificial intelligence to the identification of variegated coloring in skin tumors
- 1 December 1991
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Engineering in Medicine and Biology Magazine
- Vol. 10 (4) , 57-62
- https://doi.org/10.1109/51.107171
Abstract
The importance of color information for the automatic diagnosis of skin tumors by computer vision is demonstrated. The utility of the relative color concept is proved by the results in identifying variegated coloring. A feature file paradigm is shown to provide an effective methodology for the independent development of software modules for expert system/computer vision research. An automatic induction tool is used effectively to generate rules for identifying variegated coloring. Variegated coloring can be identified at rates as high as 92% when using the automatic induction technique in conjunction with the color segmentation method.Keywords
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