Article Versions Notes

Fusco R, Di Bernardo E, Piccirillo A, Rubulotta MR, Petrosino T, Barretta ML, Mattace Raso M, Vallone P, Raiano C, Di Giacomo R, et al. Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions. Current Oncology. 2022; 29(3):1947-1966. https://doi.org/10.3390/curroncol29030159

Fusco, Roberta, Elio Di Bernardo, Adele Piccirillo, Maria Rosaria Rubulotta, Teresa Petrosino, Maria Luisa Barretta, Mauro Mattace Raso, Paolo Vallone, Concetta Raiano, Raimondo Di Giacomo, and et al. 2022. "Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions" Current Oncology 29, no. 3: 1947-1966. https://doi.org/10.3390/curroncol29030159

Fusco, R., Di Bernardo, E., Piccirillo, A., Rubulotta, M. R., Petrosino, T., Barretta, M. L., Mattace Raso, M., Vallone, P., Raiano, C., Di Giacomo, R., Siani, C., Avino, F., Scognamiglio, G., Di Bonito, M., Granata, V., & Petrillo, A. (2022). Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions. Current Oncology, 29(3), 1947-1966. https://doi.org/10.3390/curroncol29030159