Detecção Inteligente de Retinopatia Diabética com Redes Neurais Convolucionais Profundas
Diego Lucena de Medeiros, Elloá Guedes

DOI: 10.14209/sbrt.2021.1570726892
Evento: XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2021)
Keywords: Deep Learning Redes Neurais Convolucionais Visão Computacional
Abstract
This work describes the experimental results of using Convolutional Neural Networks to detect diabetic retinopathy in medical images. Canonical architectures were considered and the best results obtained have F1-Score equal to 75,83\% with Inception architecture, highlighting the potential of using such models in this Medical Imagiology problem.

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