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An Automated Tracking Approach for Extraction of Retinal Vasculature in Fundus Images

PURPOSE: To present a novel automated method for tracking and detection of retinal blood vessels in fundus images. METHODS: For every pixel in retinal images, a feature vector was computed utilizing multiscale analysis based on Gabor filters. To classify the pixels based on their extracted features...

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Hlavní autoři: Osareh, Alireza, Shadgar, Bita
Médium: Artigo
Jazyk:Inglês
Vydáno: Ophthalmic Research Center 2010
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3380666/
https://ncbi.nlm.nih.gov/pubmed/22737322
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