Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/108004
Type: Artigo de evento
Title: Machine Learning And Pattern Classification In Identification Of Indigenous Retinal Pathology
Author: Jelinek H.F.
Rocha A.
Carvalho T.
Goldenstein S.
Wainer J.
Abstract: Diabetic retinopathy (DR) is a complication of diabetes, which if untreated leads to blindness. DR early diagnosis and treatment improve outcomes. Automated assessment of single lesions associated with DR has been investigated for sometime. To improve on classification, especially across different ethnic groups, we present an approach using points-of-interest and visual dictionary that contains important features required to identify retinal pathology. Variation in images of the human retina with respect to differences in pigmentation and presence of diverse lesions can be analyzed without the necessity of preprocessing and utilizing different training sets to account for ethnic differences for instance. © 2011 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/IEMBS.2011.6091471
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84055192129&partnerID=40&md5=671cbd94c36d445180a5f30eb64ebee4
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

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