title: Comparative analysis of image classification methods for automatic diagnosis of ophthalmic images.
abstract: There are many image classification methods, but it remains unclear which methods are most helpful for analyzing and intelligently identifying ophthalmic images. We select representative slit-lamp images which show the complexity of ocular images as research material to compare image classification algorithms for diagnosing ophthalmic diseases. To facilitate this study, some feature extraction algorithms and classifiers are combined to automatic diagnose pediatric cataract with same dataset and then their performance are compared using multiple criteria. This comparative study reveals the general characteristics of the existing methods for automatic identification of ophthalmic images and provides new insights into the strengths and shortcomings of these methods. The relevant methods (local binary pattern +SVMs, wavelet transformation +SVMs) which achieve an average accuracy of 87% and can be adopted in specific situations to aid doctors in preliminarily disease screening. Furthermore, some methods requiring fewer computational resources and less time could be applied in remote places or mobile devices to assist individuals in understanding the condition of their body. In addition, it would be helpful to accelerate the development of innovative approaches and to apply these methods to assist doctors in diagnosing ophthalmic disease.
authors.affiliation: Institute of Software Engineering, Xidian University, Xi'an 710071, China.
authors.forename: Liming
authors.initials: L
authors.lastname: Wang
authors.affiliation: School of Computer Science and Technology, Xidian University, Xi'an 710071, China.
authors.forename: Kai
authors.initials: K
authors.lastname: Zhang
authors.affiliation: School of Computer Science and Technology, Xidian University, Xi'an 710071, China.|School of Software, Xidian University, Xi'an 710071, China.
authors.forename: Xiyang
authors.initials: X
authors.lastname: Liu
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Erping
authors.initials: E
authors.lastname: Long
authors.affiliation: School of Computer Science and Technology, Xidian University, Xi'an 710071, China.
authors.forename: Jiewei
authors.initials: J
authors.lastname: Jiang
authors.affiliation: School of Computer Science and Technology, Xidian University, Xi'an 710071, China.
authors.forename: Yingying
authors.initials: Y
authors.lastname: An
authors.affiliation: School of Computer Science and Technology, Xidian University, Xi'an 710071, China.
authors.forename: Jia
authors.initials: J
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Zhenzhen
authors.initials: Z
authors.lastname: Liu
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Zhuoling
authors.initials: Z
authors.lastname: Lin
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: Li
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Jingjing
authors.initials: J
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Qianzhong
authors.initials: Q
authors.lastname: Cao
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Xiaohang
authors.initials: X
authors.lastname: Wu
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Dongni
authors.initials: D
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Wangting
authors.initials: W
authors.lastname: Li
authors.affiliation: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
authors.forename: Haotian
authors.initials: H
authors.lastname: Lin
mesh_terms: D003952:Diagnostic Imaging / Q000379:methods; D003941:Diagnostic Techniques, Ophthalmological; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods; D012372:ROC Curve; D015203:Reproducibility of Results