Leveraging Multiscale Hessian-Based Enhancement with a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation

IEEE Journal of Biomedical and Health Informatics

Volumn 20, Issue 4, 2016, Pages 1129-1138

  Annunziata, Roberto ^a,b   Garzelli, Andrea ^a   Ballerini, Lucia ^b   Mecocci, Alessandro ^a   Trucco, Emanuele ^b  

^a UNIVERSITY OF SIENA   (Italy)

^b UNIVERSITY OF DUNDEE   (United Kingdom)

Author keywords

Exudates; inpainting; retina; vessel segmentation

Indexed keywords

MATRIX ALGEBRA;

EXUDATES; INPAINTING; INPAINTING TECHNIQUES; QUANTITATIVE MEASUREMENT; RETINA; RETINAL VESSEL SEGMENTATIONS; STATE-OF-THE-ART ALGORITHMS; VESSEL SEGMENTATION;

OPHTHALMOLOGY;

ALGORITHM; DIAGNOSTIC IMAGING; EXUDATE; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; PROCEDURES; RETINA BLOOD VESSEL; VISUAL SYSTEM EXAMINATION;

ALGORITHMS; DATABASES, FACTUAL; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; EXUDATES AND TRANSUDATES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; RETINAL VESSELS;

EID: 84978269240     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2015.2440091     Document Type: Article

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