Segmentation of the foveal microvasculature using deep learning networks

Journal of Biomedical Optics

Volumn 21, Issue 7, 2016, Pages

  Prentašić, Pavle ^a   Heisler, Morgan ^b   Mammo, Zaid ^c   Lee, Sieun ^b   Merkur, Andrew ^c   Navajas, Eduardo ^c   Beg, Mirza Faisal ^b   Šarunić, Marinko ^b   Lončarić, Sven ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

^b SIMON FRASER UNIVERSITY   (Canada)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

image segmentation; neural networks; ophthalmology; optical coherence tomography angiography

Indexed keywords

ANGIOGRAPHY; AUTOMATION; BLOOD VESSELS; NEURAL NETWORKS; OPHTHALMOLOGY; OPTICAL TOMOGRAPHY; TOMOGRAPHY;

AUTOMATED SEGMENTATION; CONVOLUTIONAL NEURAL NETWORK; CRITICAL STEPS; DEEP NEURAL NETWORKS; HEALTHY VOLUNTEERS; MANUAL SEGMENTATION; MICRO-VASCULATURE; RETINAL DISEASE;

IMAGE SEGMENTATION;

ALGORITHM; DIAGNOSTIC IMAGING; HUMAN; MACHINE LEARNING; MICROVASCULATURE; OPTICAL COHERENCE TOMOGRAPHY; RETINA FOVEA;

ALGORITHMS; FOVEA CENTRALIS; HUMANS; MACHINE LEARNING; MICROVESSELS; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84978683018     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.JBO.21.7.075008     Document Type: Article

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