Order Article Reprints

Corso F, Tini G, Lo Presti G, Garau N, De Angelis SP, Bellerba F, Rinaldi L, Botta F, Rizzo S, Origgi D, et al. The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images. Cancers. 2021; 13(12):3088. https://doi.org/10.3390/cancers13123088

Corso, Federica, Giulia Tini, Giuliana Lo Presti, Noemi Garau, Simone Pietro De Angelis, Federica Bellerba, Lisa Rinaldi, Francesca Botta, Stefania Rizzo, Daniela Origgi, and et al. 2021. "The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images" Cancers 13, no. 12: 3088. https://doi.org/10.3390/cancers13123088

Corso, F., Tini, G., Lo Presti, G., Garau, N., De Angelis, S. P., Bellerba, F., Rinaldi, L., Botta, F., Rizzo, S., Origgi, D., Paganelli, C., Cremonesi, M., Rampinelli, C., Bellomi, M., Mazzarella, L., Pelicci, P. G., Gandini, S., & Raimondi, S. (2021). The Challenge of Choosing the Best Classification Method in Radiomic Analyses: Recommendations and Applications to Lung Cancer CT Images. Cancers, 13(12), 3088. https://doi.org/10.3390/cancers13123088