Detecção de catarata por meio de imagens utilizando redes neurais convolucionais
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Date
2020-12-11
Journal Title
Journal ISSN
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Publisher
Universidade Católica do Salvador
Abstract
Cataract is one of the diseases of the eyeball that generates the most blindness in the
world. The rapid detection of this disease, close to the appropriate treatment, contributes
to the improvement of the patients’ quality of life. This work uses convolutional neural
networks to train three sets of data containing images of different patients, in order
to classify cataract patients and non-carriers. For this, a convolutional neural network
vgg19 had its architecture modified and improved. The most successful results used by
the network, was an accuracy of 100 %.
Description
Keywords
Aprendizagem profunda, Redes neurais convolucionais, Catarata, Deep learning, Convolutional neural network, Cataract