Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging
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Title
Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging
Authors
Keywords
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Journal
MEDICAL PHYSICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-06-21
DOI
10.1002/mp.13672
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