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Journal of Medical Imaging

Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging
Author(s): Alessandro Cosci; Ademar Takahama; Wagner Rafael Correr; Rebeca Souza Azevedo; Karla Bianca Fernandes da Costa Fontes; Cristina Kurachi
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Paper Abstract

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.

Paper Details

Date Published: 2 December 2016
PDF: 6 pages
J. Med. Img. 3(4) 044004 doi: 10.1117/1.JMI.3.4.044004
Published in: Journal of Medical Imaging Volume 3, Issue 4
Show Author Affiliations
Alessandro Cosci, Instituto de Física de São Carlos (Brazil)
Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi (Italy)
Consiglio Nazionale delle Ricerche (Italy)
Ademar Takahama, Univ. Federal Fluminense (Brazil)
Wagner Rafael Correr, Instituto de Física de São Carlos (Brazil)
Rebeca Souza Azevedo, Univ. Federal Fluminense (Brazil)
Karla Bianca Fernandes da Costa Fontes, Univ. Federal Fluminense (Brazil)
Cristina Kurachi, Instituto de Física de São Carlos (Brazil)


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