Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [(68)Ga]Ga-PSMA-11 PET/MRI
监督式机器学习技术能够利用[(68)Ga]Ga-PSMA-11 PET/MRI对原发性前列腺癌病灶进行非侵入性表征。
期刊:European Journal of Nuclear Medicine and Molecular Imaging
影响因子:7.6
doi:10.1007/s00259-020-05140-y
Papp, L; Spielvogel, C P; Grubmüller, B; Grahovac, M; Krajnc, D; Ecsedi, B; Sareshgi, R A M; Mohamad, D; Hamboeck, M; Rausch, I; Mitterhauser, M; Wadsak, W; Haug, A R; Kenner, L; Mazal, P; Susani, M; Hartenbach, S; Baltzer, P; Helbich, T H; Kramer, G; Shariat, S F; Beyer, T; Hartenbach, M; Hacker, M
