Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/328885
Type: Artigo
Title: Beyond Lesion-based Diabetic Retinopathy: A Direct Approach For Referral
Beyond lesion-based diabetic Retinopathy: a direct approach for referral
Author: Pires, Ramon
Avila, Sandra
Jelinek, Herbert F.
Wainer, Jacques
Valle, Eduardo
Rocha, Anderson
Abstract: Diabetic retinopathy (DR) is the leading cause of blindness in adults, but can be managed if detected early. Automated DR screening helps by indicating which patients should be referred to the doctor. However, current techniques of automated screening still depend too much on the detection of individual lesions. In this study, we bypass lesion detection, and directly train a classifier for DR referral. Additional novelties are the use of state-of-the-art mid-level features for the retinal images: BossaNova and Fisher Vector. Those features extend the classical Bags of Visual Words and greatly improve the accuracy of complex classification tasks. The proposed technique for direct referral is promising, achieving an area under the curve of 96.4%, thus, reducing the classification error by almost 40% over the current state of the art, held by lesion-based techniques.
Diabetic retinopathy (DR) is the leading cause of blindness in adults, but can be managed if detected early. Automated DR screening helps by indicating which patients should be referred to the doctor. However, current techniques of automated screening sti
Subject: Fusão de classificadores
Retinopatia diabética
Encaminhamento e consulta
Aprendizado de máquina
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Citation: Ieee Journal Of Biomedical And Health Informatics. Ieee-inst Electrical Electronics Engineers Inc, v. 21, p. 193 - 200, 2017.
Rights: fechado
Fechado
Identifier DOI: 10.1109/JBHI.2015.2498104
Address: https://ieeexplore.ieee.org/document/7320959
Date Issue: 2017
Appears in Collections:IC - Artigos e Outros Documentos
FEEC - Artigos e Outros Documentos

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