| Improvement of the classification accuracy in discriminating diabetic retinopathy by multifocal electroretinogram analysis |
| |
| 引用本文： | Xu Jin,Hu Guangshu and Huang Houbin. Improvement of the classification accuracy in discriminating diabetic retinopathy by multifocal electroretinogram analysis[J]. 自然科学进展(英文版), 2007, 17(8): 913-918 |
| |
| 作者姓名： | Xu Jin Hu Guangshu and Huang Houbin |
| |
| 作者单位： | Xu Jin~1 Hu Guangshu~(1**) Huang Houbin~2 (1.Department of Biomedical Engineering，Tsinghua University，Beijing 100084，China;2.Department of Ophthalmology，General Hospital of Chinese PLA，Beijing 100853，China) |
| |
| 摘 要： | The multifocal electroretinogram (mfERG) is a newly developed electrophysiological technique.In this paper,a classifi- cation method is proposed for early diagnosis of the diabetic retinopathy using mfERG data.MfERG records were obtained from eyes of healthy individuals and patients with diabetes at different stages.For each mfERG record,103 local responses were extracted.Amplitude value of each point on all the mfERG local responses was looked as one potential feature to classify the experimental subjects.Feature sub- sets were selected from the feature space by comparing the inter-intra distance.Based on the selected feature subset,Fisher's linear classi- fiers were trained.And the final classification decision of the record was made by voting all the classifiers' outputs.Applying the method to classify all experimental subjects,very low error rates were achieved.Some crucial properties of the diabetic retinopathy classification method are also discussed.
|
Improvement of the classification accuracy in discriminating diabetic retinopathy by multifocal electroretinogram analysis |
| |
| Xu Jin,Hu Guangshu and Huang Houbin. Improvement of the classification accuracy in discriminating diabetic retinopathy by multifocal electroretinogram analysis[J]. Progress in Natural Science, 2007, 17(8): 913-918 |
| |
| Authors: | Xu Jin Hu Guangshu Huang Houbin |
| |
| Abstract: | The multifocal electroretinogram (mfERG) is a newly developed electrophysiological technique.In this paper,a classifi- cation method is proposed for early diagnosis of the diabetic retinopathy using mfERG data.MfERG records were obtained from eyes of healthy individuals and patients with diabetes at different stages.For each mfERG record,103 local responses were extracted.Amplitude value of each point on all the mfERG local responses was looked as one potential feature to classify the experimental subjects.Feature sub- sets were selected from the feature space by comparing the inter-intra distance.Based on the selected feature subset,Fisher's linear classi- fiers were trained.And the final classification decision of the record was made by voting all the classifiers' outputs.Applying the method to classify all experimental subjects,very low error rates were achieved.Some crucial properties of the diabetic retinopathy classification method are also discussed. |
| |
| Keywords: | diabetic retinopathy multifocal electroretinogram feature selection linear classifier |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《自然科学进展(英文版)》浏览原始摘要信息 |
|
点击此处可从《自然科学进展(英文版)》下载全文 |
