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Alfredo Ruggeri
Researcher at University of Padua
Publications - 129
Citations - 3777
Alfredo Ruggeri is an academic researcher from University of Padua. The author has contributed to research in topics: Image segmentation & Fundus (eye). The author has an hindex of 28, co-authored 127 publications receiving 3402 citations.
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Journal ArticleDOI
Detection of optic disc in retinal images by means of a geometrical model of vessel structure
TL;DR: A new method to identify the position of the optic disc (OD) in retinal fundus images using the set of 81 images from the STARE project, containing images from both normal and pathological subjects.
Journal ArticleDOI
Luminosity and contrast normalization in retinal images.
TL;DR: The proposed image normalization technique will definitely improve automatic fundus images analysis but will also be very useful to eye specialists in their visual examination of retinal images.
Journal ArticleDOI
A Novel Method for the Automatic Grading of Retinal Vessel Tortuosity
TL;DR: A new algorithm for the evaluation of tortuosity in vessels recognized in digital fundus images is proposed, based on partitioning each vessel in segments of constant-sign curvature and then combining together each evaluation of such segments and their number.
Journal ArticleDOI
Validating retinal fundus image analysis algorithms: issues and a proposal.
Emanuele Trucco,Alfredo Ruggeri,Thomas P. Karnowski,Luca Giancardo,Edward Chaum,Jean-Pierre Hubschman,Bashir Al-Diri,Carol Y. Cheung,Damon Wing Kee Wong,Michael D. Abràmoff,Gilbert Lim,Dinesh Kumar,Philippe Burlina,Neil M. Bressler,Herbert F. Jelinek,Fabrice Meriaudeau,Gwenole Quellec,Tom MacGillivray,Baljean Dhillon +18 more
TL;DR: In this paper, the authors present a list of recommendations focusing on the creation of large repositories of test data created by international consortia, easily accessible via moderated Web sites, including multicenter annotations by multiple experts, specific to clinical tasks.
Proceedings ArticleDOI
A divide et impera strategy for automatic classification of retinal vessels into arteries and veins
Enrico Grisan,Alfredo Ruggeri +1 more
TL;DR: A new algorithm for classifying the vessels is developed, which exploits the peculiarities of retinal images, and a divide et impera approach that partitioned a concentric zone around the optic disc into quadrants was able to perform a more robust local classification analysis.