A lightweight deep learning model for mobile eye fundus image quality assessment

MLA

Romero, Eduardo, et al. “A Lightweight Deep Learning Model for Mobile Eye Fundus Image Quality Assessment.” Proceedings of SPIE, vol. 11330, no. 1, Jan. 2020, p. 113300K–113300K–8. EBSCOhost, https://doi.org/10.1117/12.2547126.

APA

Romero, E., Lepore, N., Brieva, J., Pérez, A. D., Perdomo, O., & González, F. A. (2020). A lightweight deep learning model for mobile eye fundus image quality assessment. Proceedings of SPIE, 11330(1), 113300K–113300K–8. https://doi.org/10.1117/12.2547126

Chicago

Romero, Eduardo, Natasha Lepore, Jorge Brieva, Andrés D. Pérez, Oscar Perdomo, and Fabio A. González. 2020. “A Lightweight Deep Learning Model for Mobile Eye Fundus Image Quality Assessment.” Proceedings of SPIE 11330 (1): 113300K–113300K–8. doi:10.1117/12.2547126.