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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
Other Formats
PDF
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
