Paper Info
Title
Retinal vascular analysis in a fully automated method for the segmentation of DRT edemas using OCT images.
Abstract
Optical Coherence Tomography (OCT) is a well-established medical imaging technique that allows a complete analysis and evaluation of the main retinal structures and their histopathology properties. Diabetic Macular Edema (DME) implies the accumulation of intraretinal fluid within the macular region. Diffuse Retinal Thickening (DRT) edemas are considered a relevant case of DME disease, where the pathological regions are characterized by a “sponge-like” appearance and a reduced intraretinal reflectivity, being visible in OCT images. Additionally, the presence of other structures may alter the OCT image characteristics, confusing the pathological identification process. This is the case of the retinal vessels over all the eye fundus, whose presence produce shadow projections over the retinal layers that may hide the “sponge-like” appearance of the DRT edemas.
Year
DOI
Venue
2019
10.1016/j.procs.2019.09.215
Procedia Computer Science
Keywords
Field
DocType
Computer-aided diagnosis,optical coherence tomography,diabetic macular edema,retinal vascular structure
Computer vision,Segmentation,Computer science,Artificial intelligence,Retinal,Machine learning
Conference
Volume
ISSN
Citations 
159
1877-0509
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Joaquim de Moura1148.60
Jorge Novo2256.18
Pablo Charlón300.68
María Isabel Fernández401.01
M Ortega523537.13