Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/25248

TitleSmall red lesions detection using a MAS approach
Author(s)Pereira, Carla
Veiga, Diana
Mahdjoub, Jason
Guessoum, Zahia
Gonçalves, Luís
Ferreira, Manuel João Oliveira
Monteiro, João L.
KeywordsDiabetic retinopathy
Fundus images
Multiagent system
Image processing
Red lesions
Issue dateJun-2013
PublisherSpringer
JournalLecture Notes in Computer Science
Citation10.1007/978-3-642-39094-4_59
Abstract(s)Microaneurysms are the diabetic retinopathy rst sign and its early detection is crucial for blindness prevention. Several approaches can be found in literature for the automatic microaneurysm segmentation, but none of them has shown the required performance. In this study, a new approach is proposed based on an organization of agents enabling microaneurysms segmentation. This multiagent model is preceded by a preprocessing phase to allow the environment construction where agents are situated and interact. Then, microaneurysms segmentation emerges from agent interaction. With this study, competitive results comparing to more traditional algorithms were achieved, specially in detecting microaneurysms close to vessels. It seems that a very e cient system for the diabetic retinopathy diagnosis can be built using MAS mechanisms.
TypeConference paper
URIhttp://hdl.handle.net/1822/25248
ISBN978-3-642-39093-7
DOI10.1007/978-3-642-39094-4_59
ISSN0302-9743
Publisher versionhttp://link.springer.com/chapter/10.1007%2F978-3-642-39094-4_59
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters

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