Automated detection of age-related macular degeneration using empirical mode decomposition
作者：
Highlights：
• Fundus images are converted to 1D signals using Radon transform.
• Empirical Mode Decomposition (EMD) is applied on the 1D signal.
• Nonlinear features are extracted from IMFs derived from EMD.
• Various ranking methods are used to identify optimal features.
• Classification accuracy of 100% is obtained for STARE database.
摘要
•Fundus images are converted to 1D signals using Radon transform.•Empirical Mode Decomposition (EMD) is applied on the 1D signal.•Nonlinear features are extracted from IMFs derived from EMD.•Various ranking methods are used to identify optimal features.•Classification accuracy of 100% is obtained for STARE database.
论文关键词：Age-related macular degeneration,Fundus imaging,Empirical mode decomposition,Locality sensitive discriminant analysis,Decision support system
论文评审过程：Received 11 April 2015, Revised 28 August 2015, Accepted 1 September 2015, Available online 15 September 2015, Version of Record 19 October 2015.
论文官网地址：https://doi.org/10.1016/j.knosys.2015.09.012
