Meeting ReportInstrumentation & Data Analysis Track
Use of deep convolutional neural networks to predict Parkinson’s disease progression from DaTscan SPECT images
Ivan Klyuzhin, Nikolay Shenkov, Arman Rahmim and Vesna Sossi
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 29;
Ivan Klyuzhin
2Department of Medicine University of British Columbia Vancouver BC Canada
Nikolay Shenkov
3Department of Physics and Astronomy University of British Columbia Vancouver BC Canada
Arman Rahmim
1Department of Radiology Johns Hopkins University Baltimore MD United States
Vesna Sossi
3Department of Physics and Astronomy University of British Columbia Vancouver BC Canada
In this issue
Journal of Nuclear Medicine
Vol. 59, Issue supplement 1
May 1, 2018
Use of deep convolutional neural networks to predict Parkinson’s disease progression from DaTscan SPECT images
Ivan Klyuzhin, Nikolay Shenkov, Arman Rahmim, Vesna Sossi
Journal of Nuclear Medicine May 2018, 59 (supplement 1) 29;
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