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A Deep Learning Approach for the Fast Generation of Synth... | ResearchHub
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A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear Accelerator Equipped with Artificial Intelligence
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Authors
L. Vellini
17 more
L. Vellini
•
S. Zucca
15 more
•
Davide Cusumano
Published
June 3, 2024
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Journal
Applied Sciences
Topics
Computer Science
Artificial Intelligence
Mathematics
Medicine
Radiology, Nuclear Medicine And Imaging
Show all topics
DOI
10.3390/app14114844
License
CC-BY
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Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
Applied Sciences
Topics
Computer Science
Artificial Intelligence
Mathematics
Medicine
Radiology, Nuclear Medicine And Imaging
Show all topics
DOI
10.3390/app14114844
License
CC-BY
Other Formats
PDF
