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Feature Extraction from Optic Disc and Cup Boundary Lines in Fundus Images Based on ISNT Rule for Glaucoma Diagnosis
Xu, Yongli1; Jia, Xin1; Hu, Man1; Sun, Xu1
刊名JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
2015
卷号5期号:8页码:7133-7146
关键词Machine Learning Glaucoma Diagnosis Feature Extraction Fundus Images ISNT Rule
通讯作者Sun, X (reprint author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100094, Peoples R China.
英文摘要Glaucoma is a serious progressive optic neuropathy and is the second leading cause of blindness in the world. In recent years, computer-aided glaucoma diagnosis has gradually attracted more and more attention. While the field has made significant gains, in the existing machine learning algorithm based on fundus images, there is no direct application of the ISNT rule, which is an important criterion for glaucoma diagnosis by doctors. This paper presents a method to quantify the ISNT rule and then extract two features from the optic cup and disk boundary lines. These two features can reflect the cup-to-disc ratio (CDR) and the degree of compliance of the neuroretinal rim to the ISNT rule, respectively. Therefore, a diagnosis classification based on the above features would result in a diagnosis based on doctors' priori knowledge. On a real sample set, the proposed feature extraction and diagnosis algorithms achieve a high prediction accuracy rate.
研究领域[WOS]Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging
收录类别SCI
语种英语
WOS记录号WOS:000368564700041
内容类型期刊论文
源URL[http://ir.ceode.ac.cn/handle/183411/38353]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Xu, Yongli
2.Jia, Xin] Beijing Univ Chem Technol, Dept Math, Beijing 100029, Peoples R China
3.[Hu, Man] Capital Med Univ, Beijing Childrens Hosp, Natl Key Discipline Pediat, Minist Educ,Dept Ophthalmol, Beijing 100045, Peoples R China
4.[Sun, Xu] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100094, Peoples R China
推荐引用方式
GB/T 7714
Xu, Yongli,Jia, Xin,Hu, Man,et al. Feature Extraction from Optic Disc and Cup Boundary Lines in Fundus Images Based on ISNT Rule for Glaucoma Diagnosis[J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,2015,5(8):7133-7146.
APA Xu, Yongli,Jia, Xin,Hu, Man,&Sun, Xu.(2015).Feature Extraction from Optic Disc and Cup Boundary Lines in Fundus Images Based on ISNT Rule for Glaucoma Diagnosis.JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,5(8),7133-7146.
MLA Xu, Yongli,et al."Feature Extraction from Optic Disc and Cup Boundary Lines in Fundus Images Based on ISNT Rule for Glaucoma Diagnosis".JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS 5.8(2015):7133-7146.
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