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A New Strategy for the Detection of Diabetic Retinopathy us..:
, In:
2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
,
Alves, Shara Shami Araujo
;
Matos, Alexis Galeno
;
Almeida, Jefferson Silva
... - p. 542-545 , 2020
Link:
https://doi.org/10.1109/CBMS49503.2020.00108
RT T1 <cTitle>2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)</cTitle>: T1 <Title>A New Strategy for the Detection of Diabetic Retinopathy using a Smartphone App and Machine Learning Methods Embedded on Cloud Computer</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9183361&Exemplar=1&LAN=DE A1 Alves, Shara Shami Araujo A1 Matos, Alexis Galeno A1 Almeida, Jefferson Silva A1 Benevides, Cilis Aragao A1 Cunha, Caio Cesar Henrique A1 Santiago, Rhuan Victor Crescencio A1 Pereira, Renato Francisco A1 Reboucas Filho, Pedro Pedrosa YR 2020 SN 2372-9198 K1 Diabetes K1 Feature extraction K1 Support vector machines K1 Retinopathy K1 Forestry K1 Machine learning K1 Diabetic, Retinopathy, Deep Features, Machine Learning, Computer aided diagnosis, Color Fundus Photographs SP 542 OP 545 LK http://dx.doi.org/https://doi.org/10.1109/CBMS49503.2020.00108 DO https://doi.org/10.1109/CBMS49503.2020.00108 SF ELIB - SuUB Bremen
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