Could machine learning improve the prediction of pelvic nodal status of prostate cancer patients? Preliminary results of a pilot study

B. De Bari, M. Vallati, R. Gatta, C. Simeone, G. Girelli, U. Ricardi, I. Meattini, P. Gabriele, R. Bellavita, M. Krengli, I. Cafaro, E. Cagna, F. Bunkheila, S. Borghesi, M. Signor, A. Di Marco, F. Bertoni, M. Stefanacci, N. Pasinetti, M. BuglioneS. M. Magrini

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Computer Science

Agricultural and Biological Sciences