Unsupervised Retinal Vessel Segmentation Using Combined Filters

Image segmentation of retinal blood vessels is a process that can help to predict and diagnose cardiovascular related diseases, such as hypertension and diabetes, which are known to affect the retinal blood vessels' appearance. This work proposes an unsupervised method for the segmentation of r...

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Veröffentlicht in:	PloS one 2016-02, Vol.11 (2), p.e0149943-e0149943
Hauptverfasser:	Oliveira, Wendeson S, Teixeira, Joyce Vitor, Ren, Tsang Ing, Cavalcanti, George D C, Sijbers, Jan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biology and Life Sciences Blood Blood vessels Cardiovascular diseases Cardiovascular Diseases - diagnosis Cardiovascular Diseases - pathology Care and treatment Classification Cybernetics Deformation Diabetes mellitus Diagnosis Diagnostic imaging Engineering and Technology Filters Formability Humans Hypertension Image enhancement Image Enhancement - methods Image processing Image segmentation Medical imaging Medicine and Health Sciences Methods Motivation Pattern recognition Physical Sciences Physiological aspects Ranking Research and Analysis Methods Retina Retinal images Retinal Vessels - pathology Wavelet transforms
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