A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images

Medical Physics

Volumn 44, Issue 3, 2017, Pages 914-923

  Eltanboly, Ahmed ^a,b   Ismail, Marwa ^b   Shalaby, Ahmed ^b   Switala, Andy ^b   El Baz, Ayman ^b   Schaal, Shlomit ^c   Gimel’farb, Georgy ^d   El Azab, Magdi ^a  

^a MANSOURA UNIVERSITY   (Egypt)

^b University of Louisville   (United States)

^c University of Louisville School of Medicine   (United States)

^d UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

diabetic retinopathy (DR); joint image region map model; Markov Gibbs random field (MGRF); non negativity constrained autoencoder (NCAE); optical coherence tomography (OCT)

Indexed keywords

ALDEHYDES; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; COMPUTER AIDED INSTRUCTION; DISTRIBUTION FUNCTIONS; EYE PROTECTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; OPTICAL TOMOGRAPHY; STATISTICAL METHODS;

AUTO ENCODERS; DIABETIC RETINOPATHY; IMAGE REGIONS; JOINT IMAGE-REGION-MAP MODEL; MARKOV-GIBBS RANDOM FIELDS; MARKOV–GIBBS RANDOM FIELD; NON-NEGATIVITY; NON-NEGATIVITY-CONSTRAINED AUTOENCODER; OPTICAL COHERENCE TOMOGRAPHY;

OPHTHALMOLOGY;

ADULT; AGED; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; DIAGNOSTIC IMAGING; FEMALE; HUMAN; MACHINE LEARNING; MALE; MIDDLE AGED; OPTICAL COHERENCE TOMOGRAPHY; PROCEDURES; RETINA; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ADULT; AGED; DIABETIC RETINOPATHY; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RETINA; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 85016289983     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1002/MP.12071     Document Type: Article

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