Analysis of glaucoma diagnosis with automated classifiers using stratus optical coherence tomography

中國醫藥大學機構典藏 China Medical University Repository, Taiwan > 台中附設醫院 > 會議論文 > Item 310903500/27262

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题名:	Analysis of glaucoma diagnosis with automated classifiers using stratus optical coherence tomography
作者:	Huang, ML;Chen, HY;Hung, PT
贡献者:	附設醫院眼科部 China Med Univ Hosp, Dept Ophthalmol, Glaucoma Serv, Taichung 404, Taiwan
日期:	2005
上传时间:	2010-09-20 13:57:13 (UTC+8)
出版者:	SPRINGER
摘要:	The study compared the performances of two classification methods including logistic regression analysis and artificial neural network (ANN) in terms of the area under the receiver operating characteristic curves for differentiating glaucomatous from normal eyes in Taiwan Chinese population based solely on the quantitative assessment of summary data reports from the Stratus optical coherence tomography (OCT). The logistic regression analysis and ANNs showed promise for increasing diagnostic accuracy of glaucoma using summary data from Stratus OCT. The results can be used as the basis for further improving the diagnostic accuracy of glaucoma
關聯:	OPTICAL AND QUANTUM ELECTRONICS 37(13-15):1239-1249
显示于类别:	[台中附設醫院] 會議論文

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