Application of novel software algorithms to spectral-domain optical coherence tomography for automated detection of diabetic retinopathy

Ophthalmic Surgery Lasers and Imaging Retina

Volumn 47, Issue 5, 2016, Pages 410-417

  Adhi, Mehreen ^a   Semy, Salim K ^b   Stein, David W ^b   Potter, Daniel M ^b   Kuklinski, Walter S ^b   Sleeper, Harry A ^b   Duker, Jay S ^a   Waheed, Nadia K ^a  

^a TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b MITRE CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CLINICAL ARTICLE; CLINICAL ASSESSMENT; CONTROLLED STUDY; DIABETIC PATIENT; DIABETIC RETINOPATHY; EYE PHOTOGRAPHY; HUMAN; MACULAR EDEMA; MEDICAL SPECIALIST; MICROANEURYSM; OPTICAL COHERENCE TOMOGRAPHY DEVICE; PRIORITY JOURNAL; RETINAL THICKNESS; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY; ADULT; AGED; AUTOMATION; FEMALE; MALE; MIDDLE AGED; OPTICAL COHERENCE TOMOGRAPHY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; RETINA; SOFTWARE; VISUAL ACUITY; YOUNG ADULT;

ADULT; AGED; ALGORITHMS; AUTOMATION; DIABETIC RETINOPATHY; FEMALE; HUMANS; MALE; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; RETINA; RETROSPECTIVE STUDIES; SOFTWARE; TOMOGRAPHY, OPTICAL COHERENCE; VISUAL ACUITY; YOUNG ADULT;

EID: 84983381003     PISSN: 23258160     EISSN: 23258179     Source Type: Journal    
DOI: 10.3928/23258160-20160419-03     Document Type: Article

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