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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dorileo, E.A.G. Frade, M.A.C. Rangayyan, R.M. Azevedo-Marques, P.M. |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil, 14048-900 (Dorileo, E.A.G.; Frade, M.A.C.; Azevedo-Marques, P.M.) || Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada (Rangayyan, R.M.) |
| Abstract | Ulcered lesions on the legs and feet caused by venous insufficiency and other conditions require long-term clinical treatment and follow-up. To facilitate the analysis of the tissue composition of a lesion, we propose color imaging and image processing methods. Methods considering the bottom tissues are proposed for the segmentation of a given image into regions corresponding to red granulation, yellow fibrin, black scar, and white hyperkeratotic tissue (callous). Tests with 172 images and comparison with visual analysis by a dermatologist indicated an average root-mean-squared error of 22.7% in tissue composition. In retrospective analysis, the dermatologist indicated that the results were accurate for 31.4% and acceptable for 14% of the images. Comparison between the lesion area obtained automatically and the same lesion region manually drawn by a dermatologist indicated an average superposition of 0.61. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 1210005 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424453764 |
| ISSN | 08407789 |
| DOI | 10.1109/CCECE.2010.5575143 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-02 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Lesions Image segmentation Skin Color Image color analysis Pixel Protocols wound healing color image processing segmentation skin lesions leg ulcers tissue composition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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