期刊
BIOMEDICAL OPTICS EXPRESS
卷 7, 期 12, 页码 4928-4940出版社
Optica Publishing Group
DOI: 10.1364/BOE.7.004928
关键词
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资金
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDB13040400]
- Jilin University
- major research projects of Xi'an Siyuan University [XASY-B1601]
Non-lethal macular diseases greatly impact patients' life quality, and will cause vision loss at the late stages. Visual inspection of the optical coherence tomography (OCT) images by the experienced clinicians is the main diagnosis technique. We proposed a computer-aided diagnosis (CAD) model to discriminate age-related macular degeneration (AMD), diabetic macular edema (DME) and healthy macula. The linear configuration pattern (LCP) based features of the OCT images were screened by the Correlation-based Feature Subset (CFS) selection algorithm. And the best model based on the sequential minimal optimization (SMO) algorithm achieved 99.3% in the overall accuracy for the three classes of samples. (C) 2016 Optical Society of America
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