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Fanizzi A, Lorusso V, Biafora A, Bove S, Comes MC, Cristofaro C, Digennaro M, Didonna V, Forgia DL, Nardone A, et al. Sentinel Lymph Node Metastasis on Clinically Negative Patients: Preliminary Results of a Machine Learning Model Based on Histopathological Features. Applied Sciences. 2021; 11(21):10372. https://doi.org/10.3390/app112110372

Fanizzi, Annarita, Vito Lorusso, Albino Biafora, Samantha Bove, Maria Colomba Comes, Cristian Cristofaro, Maria Digennaro, Vittorio Didonna, Daniele La Forgia, Annalisa Nardone, and et al. 2021. "Sentinel Lymph Node Metastasis on Clinically Negative Patients: Preliminary Results of a Machine Learning Model Based on Histopathological Features" Applied Sciences 11, no. 21: 10372. https://doi.org/10.3390/app112110372

Fanizzi, A., Lorusso, V., Biafora, A., Bove, S., Comes, M. C., Cristofaro, C., Digennaro, M., Didonna, V., Forgia, D. L., Nardone, A., Pomarico, D., Tamborra, P., Zito, A., Paradiso, A. V., & Massafra, R. (2021). Sentinel Lymph Node Metastasis on Clinically Negative Patients: Preliminary Results of a Machine Learning Model Based on Histopathological Features. Applied Sciences, 11(21), 10372. https://doi.org/10.3390/app112110372