Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images

IEEE Journal of Biomedical and Health Informatics

Volumn 21, Issue 3, 2017, Pages 803-813

  Maheshwari, Shishir ^a   Pachori, Ram Bilas ^a   Acharya, U Rajendra ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY INDORE   (India)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

Author keywords

Correntropy; Empirical wavelet transform (EWT); Feature selection; Glaucoma; Least Squares support vector machine (LS SVM) classifier

Indexed keywords

EYE PROTECTION; FEATURE EXTRACTION; IMAGE COMPRESSION; OPHTHALMOLOGY; OPTICAL TOMOGRAPHY; SCANNING; SUPPORT VECTOR MACHINES; TOMOGRAPHY;

CLASSIFICATION ACCURACY; CORRENTROPY; EMPIRICAL WAVELET TRANSFORM (EWT); FEATURE SELECTION ALGORITHM; GLAUCOMA; HEIDELBERG RETINAL TOMOGRAPHIES; LEAST SQUARES SUPPORT VECTOR MACHINES; SCANNING LASER POLARIMETRY;

WAVELET TRANSFORMS;

ALGORITHM; ANALYTICAL PARAMETERS; ARTICLE; CORRENTROPY; DATA BASE; DIAGNOSTIC ACCURACY; DIGITAL IMAGING; DISEASE CLASSIFICATION; EMPIRICAL WAVELET TRANSFORM; ENTROPY; EYE FUNDUS; GLAUCOMA; IMAGE ANALYSIS; KERNEL METHOD; LEAST SQUARE ANALYSIS; METHODOLOGY; SUPPORT VECTOR MACHINE; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; HUMAN; PROCEDURES; REPRODUCIBILITY; RETINA; VISUAL SYSTEM EXAMINATION; WAVELET ANALYSIS;

ALGORITHMS; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; FUNDUS OCULI; GLAUCOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; REPRODUCIBILITY OF RESULTS; RETINA; WAVELET ANALYSIS;

EID: 85019228808     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2016.2544961     Document Type: Article

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