Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images
Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images
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DOI：
10.1364/boe.5.003568
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发表时间：
2014-10-01
影响因子：
3.4
通讯作者：
Farsiu, Sina
中科院分区：
文献类型：
--
作者：
Srinivasan, Pratul P.;Kim, Leo A.;Farsiu, Sina
我们提出了一种新的全自动算法，通过光学相干断层扫描（OCT）成像视网膜疾病的检测。我们的算法利用多尺度直方图的方向梯度描述符作为特征向量的支持向量机分类器。用于交叉验证的光谱域OCT数据集包括从45名受试者获得的体积扫描：15名正常受试者，15名干性年龄相关性黄斑变性（AMD）患者和15名糖尿病性黄斑水肿（DME）患者。我们的分类器正确识别100%的AMD病例，100%的DME病例和86.67%的正常人病例。该算法是眼科疾病远程诊断的潜在有效工具。2014美国光学学会Optical Society of America
We present a novel fully automated algorithm for the detection of retinal diseases via optical coherence tomography (OCT) imaging. Our algorithm utilizes multiscale histograms of oriented gradient descriptors as feature vectors of a support vector machine based classifier. The spectral domain OCT data sets used for cross-validation consisted of volumetric scans acquired from 45 subjects: 15 normal subjects, 15 patients with dry age-related macular degeneration (AMD), and 15 patients with diabetic macular edema (DME). Our classifier correctly identified 100% of cases with AMD, 100% cases with DME, and 86.67% cases of normal subjects. This algorithm is a potentially impactful tool for the remote diagnosis of ophthalmic diseases. (C)2014 Optical Society of America