Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images

Author:

López-Varela Emilio,de Moura JoaquimORCID,Novo Jorge,Fernández-Vigo José Ignacio,Moreno-Morillo Francisco Javier,Ortega Marcos

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference47 articles.

1. Quantitative features of the choriocapillaris in healthy individuals using swept-source optical coherence tomography angiography;Al-Sheikh;Ophthalmic Surg. Lasers Imaging Retin.,2017

2. Quantitative features of the choriocapillaris in healthy individuals using swept-source optical coherence tomography angiography;Al-Sheikh;Ophthalmic Surg. Lasers Imaging Retin.,2017

3. Exploring choriocapillaris under reticular pseudodrusen using oct-angiography;Alten;Graefe’s Arch. Clin. Exp. Ophthalmol.,2016

4. Automatic identification and characterization of the epiretinal membrane in oct images;Baamonde;Biomed. Opt. Express,2019

5. An unsupervised learning model for deformable medical image registration;Balakrishnan;Proc. IEEE Conf. Comput. Vis. Pattern Recognit.,2018

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