Improvement of the classification accuracy in discriminating diabetic retinopathy by multifocal electroretinogram analysis
Improvement of the classification accuracy in discriminating diabetic retinopathy by multifocal electroretinogram analysis作者机构：[a]Department of Biomedical Engineering Tsinghua University Beijing China [b]Department of Ophthalmology General Hospital of Chinese PLA Beijing China
出 版 物：《Progress in Natural Science:Materials International》 (自然科学进展·国际材料(英文))
年 卷 期：2007年第17卷第8期
页 面：913-918页
核心收录：
学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
基 金：Supported by National Natural Science Foundation of China (Grant No.30370399)
主 题：diabetic retinopathy multifocal electroretinogram feature selection linear classifier
摘 要：The multifocal electroretinogram (mfERG) is a newly developed electrophysiological *** this paper,a classifi- cation method is proposed for early diagnosis of the diabetic retinopathy using mfERG *** records were obtained from eyes of healthy individuals and patients with diabetes at different *** each mfERG record,103 local responses were *** value of each point on all the mfERG local responses was looked as one potential feature to classify the experimental *** sub- sets were selected from the feature space by comparing the inter-intra *** on the selected feature subset,Fisher s linear classi- fiers were *** the final classification decision of the record was made by voting all the classifiers *** the method to classify all experimental subjects,very low error rates were *** crucial properties of the diabetic retinopathy classification method are also discussed.
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