2 December 2016 Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging
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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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Alessandro Cosci, Alessandro Cosci, Ademar Takahama, Ademar Takahama, Wagner Rafael Correr, Wagner Rafael Correr, Rebeca Souza Azevedo, Rebeca Souza Azevedo, Karla Bianca Fernandes da Costa Fontes, Karla Bianca Fernandes da Costa Fontes, Cristina Kurachi, Cristina Kurachi, } "Automated algorithm for actinic cheilitis diagnosis by wide-field fluorescence imaging," Journal of Medical Imaging 3(4), 044004 (2 December 2016). https://doi.org/10.1117/1.JMI.3.4.044004 . Submission:
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