| Texto completo | |
| Autor(es): |
Cosci, Alessandro
;
Takahama, Jr., Ademar
;
Correr, Wagner Rafael
;
Azevedo, Rebeca Souza
;
Fernandes da Costa Fontes, Karla Bianca
;
Kurachi, Cristina
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF MEDICAL IMAGING; v. 3, n. 4 OCT 2016. |
| Citações Web of Science: | 0 |
| Resumo | |
Actinic cheilitis (AC) is a disease caused by prolonged and cumulative sun exposure that mostly affects the lower lip, which can progress to a lip squamous cell carcinoma. Routine diagnosis relies on clinician experience and training. We investigated the diagnostic efficacy of wide-field fluorescence imaging coupled to an automated algorithm for AC recognition. Fluorescence images were acquired from 57 patients with confirmed AC and 46 normal volunteers. Three different algorithms were employed: two based on the emission characteristics of local heterogeneity, entropy and intensity range, and one based on the number of objects after K-mean clustering. A classification model was obtained using a fivefold cross correlation algorithm. Sensitivity and specificity rates were 86% and 89.1%, respectively. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) (AU) | |
| Processo FAPESP: | 98/14270-8 - Centro de Ciências Ópticas e Fotônica |
| Beneficiário: | Vanderlei Salvador Bagnato |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |