Article Versions Notes

Fusco R, Piccirillo A, Sansone M, Granata V, Vallone P, Barretta ML, Petrosino T, Siani C, Di Giacomo R, Di Bonito M, et al. Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions. Applied Sciences. 2021; 11(4):1880. https://doi.org/10.3390/app11041880

Fusco, Roberta, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria Luisa Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, and et al. 2021. "Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions" Applied Sciences 11, no. 4: 1880. https://doi.org/10.3390/app11041880

Fusco, R., Piccirillo, A., Sansone, M., Granata, V., Vallone, P., Barretta, M. L., Petrosino, T., Siani, C., Di Giacomo, R., Di Bonito, M., Botti, G., & Petrillo, A. (2021). Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions. Applied Sciences, 11(4), 1880. https://doi.org/10.3390/app11041880