Use this link to cite:
http://hdl.handle.net/2183/37158 Automatic identification and classification of diabetic macular edema using optical coherence tomography images
Loading...
Identifiers
Publication date
Authors
Fernández, María Isabel
Almuina Varela, Pablo
Gil Martínez, María
Samagaio, Gabriela
Rodríguez Cid, María José
Abraldes, Maximino
Gómez-Ulla, Francisco
Advisors
Other responsabilities
Journal Title
Bibliographic citation
M. Fernández, M. Ortega, P. Almuiña, M. Gil, J. de Moura, G. Samagaio, J. Novo, M. Rodríguez, M. Abraldes, F. Gómez-Ulla, "Automatic identification and classification of diabetic macular edema using optical coherence tomography images", 19th EURETINA Congress, Paris, France, 2019.
Type of academic work
Academic degree
Abstract
[Absctract]: The automatic identification of the progressive intraretinal fluid accumulation constitutes a crucial ophthalmological issue as it provide useful information for the diagnosis, treatment and monitoring of the evolution of the different types of Diabetic Macular Edema (DME), even in early stages of this relevant disease. Our aim was to develop a new computational tool for the identification of the three types of DME using Optical Coherence Tomography (OCT) images. This fully automatic system facilitates the clinical experts in the diagnostic process of the patients with DME disease, enabling adjusted treatments without the need for further invasive studies.
Description
The conference was held in Paris, France, September 2019.