Article Versions Notes

Fusco R, Granata V, Petrosino T, Vallone P, Iasevoli MAD, Mattace Raso M, Setola SV, Pupo D, Ferrara G, Fanizzi A, et al. Machine and Deep Learning on Radiomic Features from Contrast-Enhanced Mammography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Breast Cancer Characterization. Bioengineering. 2025; 12(9):952. https://doi.org/10.3390/bioengineering12090952

Fusco, Roberta, Vincenza Granata, Teresa Petrosino, Paolo Vallone, Maria Assunta Daniela Iasevoli, Mauro Mattace Raso, Sergio Venanzio Setola, Davide Pupo, Gerardo Ferrara, Annarita Fanizzi, and et al. 2025. "Machine and Deep Learning on Radiomic Features from Contrast-Enhanced Mammography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Breast Cancer Characterization" Bioengineering 12, no. 9: 952. https://doi.org/10.3390/bioengineering12090952

Fusco, R., Granata, V., Petrosino, T., Vallone, P., Iasevoli, M. A. D., Mattace Raso, M., Setola, S. V., Pupo, D., Ferrara, G., Fanizzi, A., Massafra, R., Lafranceschina, M., La Forgia, D., Greco, L., Ferranti, F. R., De Soccio, V., Vidiri, A., Botta, F., Dominelli, V., ... Petrillo, A. (2025). Machine and Deep Learning on Radiomic Features from Contrast-Enhanced Mammography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Breast Cancer Characterization. Bioengineering, 12(9), 952. https://doi.org/10.3390/bioengineering12090952