GarcÃa-DomÃnguez, A.; Galván-Tejada, C.E.; Magallanes-Quintanar, R.; Cruz, M.; Gonzalez-Curiel, I.; Delgado-Contreras, J.R.; Soto-Murillo, M.A.; Celaya-Padilla, J.M.; Galván-Tejada, J.I.
Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation. Diseases 2023, 11, 134.
https://doi.org/10.3390/diseases11040134
AMA Style
GarcÃa-DomÃnguez A, Galván-Tejada CE, Magallanes-Quintanar R, Cruz M, Gonzalez-Curiel I, Delgado-Contreras JR, Soto-Murillo MA, Celaya-Padilla JM, Galván-Tejada JI.
Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation. Diseases. 2023; 11(4):134.
https://doi.org/10.3390/diseases11040134
Chicago/Turabian Style
GarcÃa-DomÃnguez, Antonio, Carlos E. Galván-Tejada, Rafael Magallanes-Quintanar, Miguel Cruz, Irma Gonzalez-Curiel, J. Rubén Delgado-Contreras, Manuel A. Soto-Murillo, José M. Celaya-Padilla, and Jorge I. Galván-Tejada.
2023. "Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation" Diseases 11, no. 4: 134.
https://doi.org/10.3390/diseases11040134
APA Style
GarcÃa-DomÃnguez, A., Galván-Tejada, C. E., Magallanes-Quintanar, R., Cruz, M., Gonzalez-Curiel, I., Delgado-Contreras, J. R., Soto-Murillo, M. A., Celaya-Padilla, J. M., & Galván-Tejada, J. I.
(2023). Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation. Diseases, 11(4), 134.
https://doi.org/10.3390/diseases11040134
