Analysis of the asymmetry between both eyes in early diagnosis of glaucoma combining features extracted from retinal images and OCTs into classification models
Ver/
Compartir
Estadísticas
Ver Estadísticas de usoMetadatos
Mostrar el registro completo del ítemAutor
Rodríguez Robles, Francisco; Verdú Monedero, Rafael; Berenguer Vidal, Rafael; Morales Sánchez, Juan; Sellés Navarro, InmaculadaÁrea de conocimiento
Teoría de la Señal y las ComunicacionesPatrocinadores
This work has been partially supported by Spanish National projects AES2017–PI17/00771, AES2017–PI17/00821 (Instituto de Salud Carlos III), and Regional project 20901/PI/18 (Fundación Séneca).Fecha de publicación
2023-05-14Editorial
MDPICita bibliográfica
Rodríguez-Robles, F., Verdú-Monedero, R., Berenguer-Vidal, R., Morales-Sánchez, J., Sellés-Navarro, I. (2023). Analysis of the Asymmetry between Both Eyes in Early Diagnosis of Glaucoma Combining Features Extracted from Retinal Images and OCTs into Classification Models. Sensors, 23(10), 4737. https://doi.org/10.3390/s23104737Revisión por pares
siPalabras clave
Optical coherence tomography (OCT)Retinal fundus images;
Retinal nerve fiber layer (RNFL)
RNFL thickness asymmetry
Cup-to-disc ratio (CDR)
Rim-to-disc ratio (RDR)
Optic nerve head (ONH)
Glaucoma
Resumen
This study aims to analyze the asymmetry between both eyes of the same patient for the early diagnosis of glaucoma. Two imaging modalities, retinal fundus images and optical coherence tomographies (OCTs), have been considered in order to compare their different capabilities for glaucoma detection. From retinal fundus images, the difference between cup/disc ratio and the width of the optic rim has been extracted. Analogously, the thickness of the retinal nerve fiber layer has been measured in spectral-domain optical coherence tomographies. These measurements have been considered as asymmetry characteristics between eyes in the modeling of decision trees and support vector machines for the classification of healthy and glaucoma patients. The main contribution of this work is indeed the use of different classification models with both imaging modalities to jointly exploit the strengths of each of these modalities for the same diagnostic purpose based on the asymmetry characteristics between ...
Colecciones
- Artículos [1768]
El ítem tiene asociados los siguientes ficheros de licencia:
Redes sociales