Segmentation of the foveal microvasculature using deep learning networks-Reference-Cited by-同舟云学术

Segmentation of the foveal microvasculature using deep learning networks

Published:2016-07-11 Issue:7 Volume:21 Page:075008
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:en
Short-container-title:J. Biomed. Opt

Author:

Prentašic Pavle¹,Heisler Morgan²,Mammo Zaid³,Lee Sieun²,Merkur Andrew³,Navajas Eduardo³,Beg Mirza Faisal²,Šarunic Marinko²,Loncaric Sven¹

Affiliation:

1. University of Zagreb, Faculty of Electrical Engineering and Computing, Unska ul. 3, Zagreb 10000, Croatia

2. Simon Fraser University, Department of Engineering Science, 8888 University Drive, Burnaby, British Columbia V5A1S6, Canada

3. University of British Columbia, Department of Ophthalmology and Visual Science, Eye Care Center, 2550 Willow Street, Vancouver, British Columbia V5Z 3N9, Canada

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

Reference28 articles.

1. Quantitative Morphometry of Perifoveal Capillary Networks in the Human Retina

2. Correlation of Histologic and Clinical Images to Determine the Diagnostic Value of Fluorescein Angiography for Studying Retinal Capillary Detail

3. Fluorescein Angiography Complication Survey

4. Methods and algorithms for optical coherence tomography-based angiography: a review and comparison

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