Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning

Graefe's Archive for Clinical and Experimental Ophthalmology

Volumn 256, Issue 2, 2018, Pages 259-265

  Treder, Maximilian ^a   Lauermann, Jost Lennart ^a   Eter, Nicole ^a  

^a UNIVERSITY HOSPITAL MÜNSTER   (Germany)

Author keywords

Age related macular degeneration; Deep convolutional neural network; Deep learning; Machine learning; Optical coherence tomography

Indexed keywords

ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; NERVE CELL NETWORK; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SOFTWARE; SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY; WET MACULAR DEGENERATION; ARTIFICIAL NEURAL NETWORK; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; RETINA MACULA LUTEA; VALIDATION STUDY;

HUMANS; MACHINE LEARNING; MACULA LUTEA; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, OPTICAL COHERENCE; WET MACULAR DEGENERATION;

EID: 85034588954     PISSN: 0721832X     EISSN: 1435702X     Source Type: Journal    
DOI: 10.1007/s00417-017-3850-3     Document Type: Article

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