Automated classification of glaucoma stages using higher order cumulant features

Biomedical Signal Processing and Control

Volumn 10, Issue 1, 2014, Pages 174-183

  Noronha, Kevin P ^a   Acharya, U Rajendra ^b,c   Nayak, K Prabhakar ^a   Martis, Roshan Joy ^b   Bhandary, Sulatha V ^d  

^a MANIPAL INSTITUTE OF TECHNOLOGY   (India)

^b DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^c UNIVERSITY OF MALAYA   (Malaysia)

^d KASTURBA MEDICAL COLLEGE   (India)

Author keywords

Fundus image; Glaucoma; Higher order cumulant; Na ve Bayesian; Radon transform

Indexed keywords

AUTOMATION; DIAGNOSIS; DISCRIMINANT ANALYSIS; EYE PROTECTION; MATHEMATICAL TRANSFORMATIONS; SUPPORT VECTOR MACHINES;

BAYESIAN; FUNDUS IMAGE; GLAUCOMA; HIGHER ORDER CUMULANTS; RADON TRANSFORM;

OPHTHALMOLOGY;

ADULT; ARTICLE; AUTOMATION; BAYESIAN LEARNING; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIGITAL IMAGING; DISCRIMINANT ANALYSIS; DISEASE CLASSIFICATION; DISEASE SEVERITY; FUNDUS CAMERA; GLAUCOMA; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; PREDICTIVE VALUE; PRIORITY JOURNAL; RADIAL BASED FUNCTION; RETINA IMAGE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84897980968     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2013.11.006     Document Type: Article

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