Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model.

Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model.

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http://www.wikidata.org/entity/Q38133919
A review on automatic analysis techniques for color fundus photographsRetinal imaging as a source of biomarkers for diagnosis, characterization and prognosis of chronic illness or long-term conditionsAutomated identification of retinal vessels using a multiscale directional contrast quantification (MDCQ) strategy.Modulation of retinal image vasculature analysis to extend utility and provide secondary value from optical coherence tomography imaging.Accurate and reliable segmentation of the optic disc in digital fundus images.Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy.Towards Standardization of Quantitative Retinal Vascular Parameters: Comparison of SIVA and VAMPIRE Measurements in the Lothian Birth Cohort 1936.Parametric model fitting-based approach for retinal blood vessel caliber estimation in eye fundus images.
P2860

Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model.

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http://www.wikidata.org/entity/Q38133919
description
article científic
@ca
article scientifique
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articol științific
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articolo scientifico
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artigo científico
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artigo científico
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artigo científico
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artikel ilmiah
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artículo científico
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name
Accurate estimation of retinal ...... multiresolution Hermite model.
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type
label
Accurate estimation of retinal ...... multiresolution Hermite model.
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prefLabel
Accurate estimation of retinal ...... multiresolution Hermite model.
@en
P1433
P1476
P2093
P304
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P433
P478
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P1433
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Accurate estimation of retinal ...... multiresolution Hermite model.
@en
P2093
P304
P31
P356
10.1016/J.MEDIA.2013.07.006
P433
P478
P50
P577
P698