Oliveira, Lucas Orlandi de 
; Taguchi, Felipe Marques de Carvalho; Evangelista, Renato Feijó ; Mori, Edson Shizuo; Castro Neto, Jarbas Caiado de ; Siqueira, Wallace Chamon Alves de
Source: Investigative Ophthalmology and Visual Science. Conference titles: Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology - ARVO. Unidade: IFSC
Subjects: CÓRNEA, DOENÇAS DEGENERATIVAS, APRENDIZADO COMPUTACIONAL
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OLIVEIRA, Lucas Orlandi de et al. Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures. Investigative Ophthalmology and Visual Science. Rockville: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://iovs.arvojournals.org/article.aspx?articleid=2790744. Acesso em: 15 nov. 2024. , 2023APA
Oliveira, L. O. de, Taguchi, F. M. de C., Evangelista, R. F., Mori, E. S., Castro Neto, J. C. de, & Siqueira, W. C. A. de. (2023). Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures. Investigative Ophthalmology and Visual Science. Rockville: Instituto de Física de São Carlos, Universidade de São Paulo. Recuperado de https://iovs.arvojournals.org/article.aspx?articleid=2790744NLM
Oliveira LO de, Taguchi FM de C, Evangelista RF, Mori ES, Castro Neto JC de, Siqueira WCA de. Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures [Internet]. Investigative Ophthalmology and Visual Science. 2023 ; 64( 8):[citado 2024 nov. 15 ] Available from: https://iovs.arvojournals.org/article.aspx?articleid=2790744Vancouver
Oliveira LO de, Taguchi FM de C, Evangelista RF, Mori ES, Castro Neto JC de, Siqueira WCA de. Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures [Internet]. Investigative Ophthalmology and Visual Science. 2023 ; 64( 8):[citado 2024 nov. 15 ] Available from: https://iovs.arvojournals.org/article.aspx?articleid=2790744
