Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions
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. Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions. Curr. Oncol. 2022, 29, 1947-1966. https://doi.org/10.3390/curroncol29030159
Fusco R, Di Bernardo E, Piccirillo A, Rubulotta MR, Petrosino T, Barretta ML, Mattace Raso M, Vallone P, Raiano C, Di Giacomo R, Siani C, Avino F, Scognamiglio G, Di Bonito M, Granata V, Petrillo A. 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
Chicago/Turabian StyleFusco, Roberta, Elio Di Bernardo, Adele Piccirillo, Maria R. Rubulotta, Teresa Petrosino, Maria L. Barretta, Mauro Mattace Raso, Paolo Vallone, Concetta Raiano, Raimondo Di Giacomo, Claudio Siani, Franca Avino, Giosuè Scognamiglio, Maurizio Di Bonito, Vincenza Granata, and Antonella Petrillo. 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