Florimbi, G.; Fabelo, H.; Torti, E.; Lazcano, R.; Madroñal, D.; Ortega, S.; Salvador, R.; Leporati, F.; Danese, G.; Báez-Quevedo, A.;
et al. Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors 2018, 18, 2314.
https://doi.org/10.3390/s18072314
AMA Style
Florimbi G, Fabelo H, Torti E, Lazcano R, Madroñal D, Ortega S, Salvador R, Leporati F, Danese G, Báez-Quevedo A,
et al. Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors. 2018; 18(7):2314.
https://doi.org/10.3390/s18072314
Chicago/Turabian Style
Florimbi, Giordana, Himar Fabelo, Emanuele Torti, Raquel Lazcano, Daniel Madroñal, Samuel Ortega, Ruben Salvador, Francesco Leporati, Giovanni Danese, Abelardo Báez-Quevedo,
and et al. 2018. "Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images" Sensors 18, no. 7: 2314.
https://doi.org/10.3390/s18072314
APA Style
Florimbi, G., Fabelo, H., Torti, E., Lazcano, R., Madroñal, D., Ortega, S., Salvador, R., Leporati, F., Danese, G., Báez-Quevedo, A., Callicó, G. M., Juárez, E., Sanz, C., & Sarmiento, R.
(2018). Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. Sensors, 18(7), 2314.
https://doi.org/10.3390/s18072314