Article Versions Notes

Jimenez-Castaño CA, Álvarez-Meza AM, Aguirre-Ospina OD, Cárdenas-Peña DA, Orozco-Gutiérrez ÁA. Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. Sensors. 2021; 21(22):7741. https://doi.org/10.3390/s21227741

Jimenez-Castaño, Cristian Alfonso, Andrés Marino Álvarez-Meza, Oscar David Aguirre-Ospina, David Augusto Cárdenas-Peña, and Álvaro Angel Orozco-Gutiérrez. 2021. "Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation" Sensors 21, no. 22: 7741. https://doi.org/10.3390/s21227741

Jimenez-Castaño, C. A., Álvarez-Meza, A. M., Aguirre-Ospina, O. D., Cárdenas-Peña, D. A., & Orozco-Gutiérrez, Á. A. (2021). Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. Sensors, 21(22), 7741. https://doi.org/10.3390/s21227741