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Retinal vessel segmentation using a probabilistic tracking method

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Publication:663350
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DOI10.1016/j.patcog.2011.09.019zbMath1231.68272OpenAlexW2069951134MaRDI QIDQ663350

Salah Bourennane, Mouloud Adel, Yi Yin

Publication date: 14 February 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://ora.ox.ac.uk/objects/uuid:4ca17de6-197b-4c22-bc2f-fba2cb40fb71


zbMATH Keywords

edge detectionretinal imageBayesian segmentationvessel tracking


Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10)


Related Items (4)

A multi-orientation analysis approach to retinal vessel tracking ⋮ Automatic segmentation and measurement of vasculature in retinal fundus images using probabilistic formulation ⋮ Bayesian method with spatial constraint for retinal vessel segmentation ⋮ An automatic cognitive graph-based segmentation for detection of blood vessels in retinal images



Cites Work

  • Bayesian detection of the fovea in eye fundus angiographies


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