We developed image processing techniques for OCT imaging of the uterine cervix and proposed two features for classification of normal/CIN1 and CIN2/CIN3 images. The sensitivity and specificity of the algorithm was 90.9% and 91.7%, respectively.
© 2008 Optical Society of America
(100.0100) Image processing : Image processing
(100.2960) Image processing : Image analysis
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(170.4500) Medical optics and biotechnology : Optical coherence tomography
W. Kang, X. Qi, M. Kareta, J. Belinson, and A. Rollins, "Automated Processing and Classification of Cervical Images Using Optical Coherence Tomography," in Biomedical Optics, OSA Technical Digest (CD) (Optical Society of America, 2008), paper BMD77.
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