Zhao, R;
Camino, A;
Wang, J;
Hagag, AM;
Lu, Y;
Bailey, ST;
Flaxel, CJ;
... Jia, Y; + view all
(2017)
Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography.
Biomedical Optics Express
, 8
(11)
pp. 5049-5064.
10.1364/BOE.8.005049.
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Abstract
We introduce a method to automatically detect drusen in dry age-related macular degeneration (AMD) from optical coherence tomography with minimum need for layer segmentation. The method is based on the en face detection of drusen areas in C-scans at certain distances above the Bruch’s membrane, circumventing the difficult task of pathologic retinal pigment epithelium segmentation. All types of drusen can be detected, including the challenging subretinal drusenoid deposits (pseudodrusen). The high sensitivity and accuracy demonstrated here shows its potential for detection of drusen onset in early AMD.
Type: | Article |
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Title: | Automated drusen detection in dry age-related macular degeneration by multiple-depth, en face optical coherence tomography |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1364/BOE.8.005049 |
Publisher version: | https://doi.org/10.1364/BOE.8.005049 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10053054 |
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