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2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017(1)
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A new approach to two-dimensional filter for segmenting retinal vascular network from fundus images of premature born
Conference ObjectAbstract: There is a wide interest in the segmentation of retinal vessel structure from fundus images of pretePalabras claves:fundus image analysis, medical image processing, retinal vessels segmentation, Retinopathy of PrematurityAutores:Alonso-Calvo R., Antonio Criollo-Ramos, Crespo J., Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:googlescopusEnhancing vessel visibility in fundus images to aid the diagnosis of retinopathy of prematurity
ArticleAbstract: Retinopathy of prematurity is a disease that can affect premature or in similar conditions babies. FPalabras claves:Artificial Neural Network, fundus enhancement, medical image processing, Retinopathy of PrematurityAutores:Alonso-Calvo R., Crespo J., Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:scopusOptic Disk Detection in Fundus Images of Retinopathy of Prematurity
Conference ObjectAbstract: Children born prematurely may suffer from an eye disease called retinopathy of prematurity (ROP). ToPalabras claves:medical image processing, Optic disk detection, Retinopathy of PrematurityAutores:Adán Guzmán-Castillo, Eddy Torres-Constante, Julio Ibarra-Fiallo, María Pérez-Hernández, Monserrate Intriago-PazmiñoFuentes:googlescopusSegmenting retinal vascular net from retinopathy of prematurity images using convolutional neural network
Conference ObjectAbstract: In this paper, we describe the experimentation with a convolutional neural network for segmenting rePalabras claves:Convolutional neural network, medical image processing, Retinopathy of PrematurityAutores:Alonso-Calvo R., Crespo J., Julio Ibarra-Fiallo, Monserrate Intriago-PazmiñoFuentes:scopus