Simultaneous segmentation of the optic disc and fovea in retinal images using evolutionary algorithms

Carmona, Enrique J. y Molina Casado, José M. . (2021) Simultaneous segmentation of the optic disc and fovea in retinal images using evolutionary algorithms. Neural Computing and Applications 33, 1903–1921 (2021)

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Título Simultaneous segmentation of the optic disc and fovea in retinal images using evolutionary algorithms
Autor(es) Carmona, Enrique J.
Molina Casado, José M.
Materia(s) Informática
Ingeniería Informática
Abstract In this work, we present a new methodology to simultaneously segment anatomical structures in medical images. Additionally, this methodology is instantiated in a method that is used to simultaneously segment the optic disc (OD) and fovea in retinal images. The OD and fovea are important anatomical structures that must be previously identified in any image-based computer-aided diagnosis system dedicated to diagnosing retinal pathologies that cause vision problems. Basically, the simultaneous segmentation method uses an OD-fovea model and an evolutionary algorithm. On the one hand, the model is built using the intra-structure relational knowledge, associated with each structure, and the inter-structure relational knowledge existing between both and other retinal structures. On the other hand, the evolutionary algorithm (differential evolution) allows us to automatically adjust the instance parameters that best approximate the OD-fovea model in a given retinal image. The method is evaluated in the MESSIDOR public database. Compared with other recent segmentation methods in the related literature, competitive segmentation results are achieved. In particular, a sensitivity and specificity of 0.9072 and 0.9995 are respectively obtained for the OD. Considering a success when the distance between the detected and actual center is less than or equal to η times the OD radius, the success rates obtained for the fovea are 97.3% and 99.0% for η = 1=2 and η = 1 and, respectively. The segmentation average time per image is 29.35 s.
Palabras clave Evolutionary algorithm
Differential evolution
Optic disc
Fovea
Segmentation
Retinal image
Editor(es) Springer
Fecha 2021-03
Formato application/pdf
Identificador bibliuned:95-Ejcarmona-0005
http://e-spacio.uned.es/fez/view/bibliuned:95-Ejcarmona-0005
DOI - identifier https://doi.org/10.1007/s00521-020-05060-w
ISSN - identifier 1433-3058
Nombre de la revista Neural Computing and Applications
Número de Volumen 33
Página inicial 1903
Página final 1921
Publicado en la Revista Neural Computing and Applications 33, 1903–1921 (2021)
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales This is an Accepted Manuscript of an article published by Springer in "Neural Computing and Applications 33, 1903–1921 (2021)", available at: https://doi.org/10.1007/s00521-020-05060-w
Notas adicionales Este es el manuscrito aceptado del artículo publicado por Springer en "Neural Computing and Applications 33, 1903–1921 (2021)", disponible en línea: https://doi.org/10.1007/s00521-020-05060-w

 
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Creado: Tue, 09 Apr 2024, 18:45:37 CET