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A Feature Selection Strategy to Optimize Retinal Vasculature Segmentation
Author(s) -
José EscorciaGutierrez,
Jordina TorrentsBarrena,
Margarita Gamarra,
Natasha Madera,
Pedro RomeroAroca,
Aı̈da Valls,
Domènec Puig
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.020074
Subject(s) - segmentation , artificial intelligence , computer science , feature selection , diabetic retinopathy , decision tree , pattern recognition (psychology) , artificial neural network , classifier (uml) , support vector machine , image segmentation , computer aided diagnosis , process (computing) , machine learning , computer vision , diabetes mellitus , medicine , endocrinology , operating system

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