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Pérez-Sanz F, Riquelme-Pérez M, Martínez-Barba E, de la Peña-Moral J, Salazar Nicolás A, Carpes-Ruiz M, Esteban-Gil A, Legaz-García MDC, Parreño-González MA, Ramírez P, et al. Efficiency of Machine Learning Algorithms for the Determination of Macrovesicular Steatosis in Frozen Sections Stained with Sudan to Evaluate the Quality of the Graft in Liver Transplantation. Sensors. 2021; 21(6):1993. https://doi.org/10.3390/s21061993

Pérez-Sanz, Fernando, Miriam Riquelme-Pérez, Enrique Martínez-Barba, Jesús de la Peña-Moral, Alejandro Salazar Nicolás, Marina Carpes-Ruiz, Angel Esteban-Gil, María Del Carmen Legaz-García, María Antonia Parreño-González, Pablo Ramírez, and et al. 2021. "Efficiency of Machine Learning Algorithms for the Determination of Macrovesicular Steatosis in Frozen Sections Stained with Sudan to Evaluate the Quality of the Graft in Liver Transplantation" Sensors 21, no. 6: 1993. https://doi.org/10.3390/s21061993

Pérez-Sanz, F., Riquelme-Pérez, M., Martínez-Barba, E., de la Peña-Moral, J., Salazar Nicolás, A., Carpes-Ruiz, M., Esteban-Gil, A., Legaz-García, M. D. C., Parreño-González, M. A., Ramírez, P., & Martínez, C. M. (2021). Efficiency of Machine Learning Algorithms for the Determination of Macrovesicular Steatosis in Frozen Sections Stained with Sudan to Evaluate the Quality of the Graft in Liver Transplantation. Sensors, 21(6), 1993. https://doi.org/10.3390/s21061993