Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT.

Purpose: This study proposes an automated prostate cancer (PC) lesion characterization method based on the deep neural network to determine tumor burden on 68Ga-PSMA-11 PET/CT to potentially facilitate the optimization of PSMA-directed radionuclide therapy. Methods: We collected 68Ga-PSMA-11 PET/CT...

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Publicado en:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 47; no. 3; pp. 603 - 614
Autores principales:	Zhao, Yu, Gafita, Andrei, Vollnberg, Bernd, Tetteh, Giles, Haupt, Fabian, Afshar-Oromieh, Ali, Menze, Bjoern, Eiber, Matthias, Rominger, Axel, Shi, Kuangyu
Formato:	Journal Article
Publicado:	Springer Nature Mar2020
Acceso en línea:	Ver este registro en EBSCOhost