Source: Proceedings of SPIE. Conference titles: SPIE Optical Engineering + Applications. Unidade: IFSC
Subjects: CÓRNEA, DOENÇAS DEGENERATIVAS, APRENDIZADO COMPUTACIONAL
ABNT
OLIVEIRA, Lucas Orlandi de et al. Keratoconus classification using a novel convolutional neural network architecture and corneal curvature maps. Proceedings of SPIE. Bellingham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: http://dx.doi.org/10.1117/12.3029894. Acesso em: 08 out. 2025. , 2024APA
Oliveira, L. O. de, Taguchi, F. M. de C., Evangelista, R. F., Oliveira, A. O. de, Mori, E. S., Castro Neto, J. C. de, & Siqueira, W. C. A. de. (2024). Keratoconus classification using a novel convolutional neural network architecture and corneal curvature maps. Proceedings of SPIE. Bellingham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1117/12.3029894NLM
Oliveira LO de, Taguchi FM de C, Evangelista RF, Oliveira AO de, Mori ES, Castro Neto JC de, Siqueira WCA de. Keratoconus classification using a novel convolutional neural network architecture and corneal curvature maps [Internet]. Proceedings of SPIE. 2024 ; 13138 1313806-1-1313806-6.[citado 2025 out. 08 ] Available from: http://dx.doi.org/10.1117/12.3029894Vancouver
Oliveira LO de, Taguchi FM de C, Evangelista RF, Oliveira AO de, Mori ES, Castro Neto JC de, Siqueira WCA de. Keratoconus classification using a novel convolutional neural network architecture and corneal curvature maps [Internet]. Proceedings of SPIE. 2024 ; 13138 1313806-1-1313806-6.[citado 2025 out. 08 ] Available from: http://dx.doi.org/10.1117/12.3029894