| Texto completo | |
| Autor(es): |
Dorileo, Ederson. A. G.
;
Frade, Marco A. C.
;
Rangayyan, Rangaraj M.
;
Azevedo-Marques, Paulo M.
;
IEEE
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2010 23RD CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE); v. N/A, p. 4-pg., 2010-01-01. |
| Resumo | |
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. (AU) | |
| Processo FAPESP: | 07/01580-0 - Auxílio ao diagnóstico através do uso de recuperação de imagens por conteúdo e realimentação de relevância: um estudo de viabilidade clínica |
| Beneficiário: | Paulo Mazzoncini de Azevedo Marques |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 07/02144-9 - Recuperacao de imagens a partir de conteudos (cbir): um estudo de caracterizacao de lesoes dermatologicas para auxilio ao diagnostico na rotina clinica. |
| Beneficiário: | Éderson Antônio Gomes Dorileo |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |