Meeting ReportPhysics, Instrumentation & Data Sciences
Deep Supervised Residual U-Net for Automatic Characterization of Lesions on68Ga-PSMA PET/CT images
Yu Zhao, Andrei Gafita, Giles Tetteh, Fabian Haupt, Ali Afshar-Oromieh, Bjoern Menze, Matthias Eiber, Axel Rominger and Kuangyu Shi
Journal of Nuclear Medicine May 2019, 60 (supplement 1) 1217;
Yu Zhao
1Technical University of Munich Munich Germany
Andrei Gafita
1Technical University of Munich Munich Germany
Giles Tetteh
1Technical University of Munich Munich Germany
Fabian Haupt
2University of Bern Bern Switzerland
Ali Afshar-Oromieh
2University of Bern Bern Switzerland
Bjoern Menze
1Technical University of Munich Munich Germany
Matthias Eiber
1Technical University of Munich Munich Germany
Axel Rominger
2University of Bern Bern Switzerland
Kuangyu Shi
2University of Bern Bern Switzerland
In this issue
Journal of Nuclear Medicine
Vol. 60, Issue supplement 1
May 1, 2019
Deep Supervised Residual U-Net for Automatic Characterization of Lesions on68Ga-PSMA PET/CT images
Yu Zhao, Andrei Gafita, Giles Tetteh, Fabian Haupt, Ali Afshar-Oromieh, Bjoern Menze, Matthias Eiber, Axel Rominger, Kuangyu Shi
Journal of Nuclear Medicine May 2019, 60 (supplement 1) 1217;
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