Rede Inception V3 Voltada a Identificação do Glaucoma: Comparação entre Métodos de Otimização
Abstract
Among the possible uses of Convolutional Neural Networks (RNCs) is the aid in the early diagnosis of several diseases, including glaucoma, a pathology that causes damage to the optic nerve and can lead to permanent loss of vision. Glaucoma is the second most common cause of blindness in the world. In this work five different optimization methods performed in an RNC implemented with the Inception V3 architecture aimed at the identification of glaucoma through images were compared. The results show that, between the evaluated methods, the recently proposed method Adabound achieves the best results during and after the training process.
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Kingman, S. (2004). Glaucoma is second leading cause of blindness globally. Bulletin of the World Health Organization, 82, 887-888.
Leonardo, M. M., & Faria, F. A. (2017). Um Sistema de Reconhecimento de Espécies de Moscas-das-Frutas. Revista Eletrônica de Iniciação Científica em Computação, 17(2).
Luo, L., Xiong, Y., Liu, Y., & Sun, X. (2019). Adaptive gradient methods with dynamic bound of learning rate. arXiv preprint arXiv:1902.09843.
SOUSA, F. M. M. M. D. (2017). Uma Otimização do Perceptron Multicamadas Utilizando Aproximação Quadrática e Método de Ponto Proximal.
Sutskever, I., Martens, J., Dahl, G., & Hinton, G. (2013). On the importance of initialization and momentum in deep learning. In International conference on machine learning (pp. 1139-1147).
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016). Rethinking the inception architecture for computer vision. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2818-2826).
Taqi, A. M., Awad, A., Al-Azzo, F., & Milanova, M. (2018). The impact of multi-optimizers and data augmentation on TensorFlow convolutional neural network performance. In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) (pp. 140-145). IEEE.
Published
2019-12-26
How to Cite
RIBEIRO, Athyrson M.; ARAÚJO JUNIOR, Francisco de Paula S..
Rede Inception V3 Voltada a Identificação do Glaucoma: Comparação entre Métodos de Otimização. In: REGIONAL SCHOOL OF APPLIED COMPUTING FOR HEALTH (ERCAS), 7. , 2019, Teresina.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
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p. 1-6.
