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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wadhawan, T. Rui Hu Zouridakis, G. |
| Copyright Year | 2012 |
| Description | Author affiliation: Departments of Engineering Technology, Computer Science, and Electrical and Computer Engineering, University of Houston, TX 77204-3058 USA (Zouridakis, G.) || Department of Computer Science, Computer Science, and Electrical and Computer Engineering, University of Houston, TX 77204-3058 USA (Wadhawan, T.) || Department of Electrical and Computer Engineering, Computer Science, and Electrical and Computer Engineering, University of Houston, TX 77204-3058 USA (Rui Hu) |
| Abstract | Recent studies have shown a dramatic increase in the incidence of malignant melanoma. Thus, it is essential to educate the public about risk factors and augment screening for melanoma to reduce fatalities. Common diagnostic criteria used by dermatologists specialized in dermoscopy are based on the detection of certain texture and color features of a lesion. In this paper, we present a novel algorithm for detecting the socalled blue-whitish veil color feature. Our results show that when the blue-whitish veil is combined with the regression feature can provide sensitivity and specificity of 95.64% and 72.30%, respectively. Therefore detecting blue-whitish veil accurately is of paramount importance in systems for automated detection of melanoma. |
| Starting Page | 503 |
| Ending Page | 506 |
| File Size | 875719 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457721762 |
| e-ISBN | 9781457721779 |
| e-ISBN | 9781457721755 |
| DOI | 10.1109/BHI.2012.6211628 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-01-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | USA Councils Image color analysis Robot sensing systems |
| Content Type | Text |
| Resource Type | Article |
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