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Donisi L, Cesarelli G, Castaldo A, De Lucia DR, Nessuno F, Spadarella G, Ricciardi C. A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset. Journal of Imaging. 2021; 7(10):215. https://doi.org/10.3390/jimaging7100215

Donisi, Leandro, Giuseppe Cesarelli, Anna Castaldo, Davide Raffaele De Lucia, Francesca Nessuno, Gaia Spadarella, and Carlo Ricciardi. 2021. "A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset" Journal of Imaging 7, no. 10: 215. https://doi.org/10.3390/jimaging7100215

Donisi, L., Cesarelli, G., Castaldo, A., De Lucia, D. R., Nessuno, F., Spadarella, G., & Ricciardi, C. (2021). A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset. Journal of Imaging, 7(10), 215. https://doi.org/10.3390/jimaging7100215