Convolutional Neural Network for Monkeypox Detection

Author:

Alcalá-Rmz Vanessa,Villagrana-Bañuelos Karen E.,Celaya-Padilla José M.,Galván-Tejada Jorge I.,Gamboa-Rosales Hamurabi,Galván-Tejada Carlos E.

Publisher

Springer International Publishing

Reference30 articles.

1. Ahsan, M.M., Uddin, M.R., Farjana, M., Sakib, A.N., Momin, K.A., Luna, S.A.: Image data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified vgg16. arXiv preprint arXiv:2206.01862 (2022)

2. Antona Cortés, C., et al.: Herramientas modernas en redes neuronales: la librería Keras. B.S. thesis (2017)

3. Aractingi, S., Pellacani, G.: Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology? Eur. J. Dermatol. 29(1), 4–7 (2019)

4. Beer, E.M., Rao, V.B.: A systematic review of the epidemiology of human Monkeypox outbreaks and implications for outbreak strategy. PLoS Negl. Trop. Dis. 13(10), e0007791 (2019)

5. Bhavsar, K.A., Abugabah, A., Singla, J., AlZubi, A.A., Bashir, A.K., et al.: A comprehensive review on medical diagnosis using machine learning. Comput. Mater. Continua 67(2), 1997 (2021)

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