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

Vista sencilla de ítem
dc.contributor.authorCarmona, Enrique J.
dc.contributor.authorMolina Casado, José María
dc.date.accessioned2024-08-21T12:13:33Z
dc.date.available2024-08-21T12:13:33Z
dc.date.issued2021-03
dc.description.abstractIn 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.en
dc.description.versionversión final
dc.identifier.doihttps://doi.org/10.1007/s00521-020-05060-w
dc.identifier.issn1433-3058
dc.identifier.urihttps://hdl.handle.net/20.500.14468/23287
dc.journal.titleNeural Computing and Applications
dc.journal.volume33
dc.language.isoen
dc.publisherSpringer
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsEvolutionary algorithm
dc.subject.keywordsDifferential evolution
dc.subject.keywordsOptic disc
dc.subject.keywordsFovea
dc.subject.keywordsSegmentation
dc.subject.keywordsRetinal image
dc.titleSimultaneous segmentation of the optic disc and fovea in retinal images using evolutionary algorithmses
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Carmona_Suarez_Enrique_SIMULTANEOUS_SEGMENTATION.pdf
Tamaño:
1.33 MB
Formato:
Adobe Portable Document Format
Descargar
Colecciones
Artículos y papers