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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| Title: | 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: | Vellini, Luca1, luca.vellini@materolbia.com, Zucca, Sergio2, sergio.zucca@aob.it, Lenkowicz, Jacopo3, jacopo.lenkowicz@policlinicogemelli.it, Menna, Sebastiano1, sebastiano.menna@materolbia.com, Catucci, Francesco1, flavio.quaranta@medipass.itfrancesco.catucci@materolbia.com, Quaranta, Flaviovincenzo1, elisa.pilloni@materolbia.com, Pilloni, Elisa1, andrea.daviero@materolbia.com, D'Aviero, Andrea1, michele.aquilano@medipass.it, Aquilano, Michele1, carmela.didio@materolbia.com, Di Dio, Carmela1, martina.iezzi@materolbia.com, Iezzi, Martina1, alessia.re@materolbia.com, Re, Alessia1, francesco.preziosi@materolbia.com, Preziosi, Francesco1, althea.boschetti@medipass.it, Piras, Antonio4, antonio.piras@gmail.com, Boschetti, Althea1, danila.piccari@materolbia.com, Piccari, Danila1, giancarlo.mattiucci@materolbia.com, Mattiucci, Gian Carlo1,5, davide.cusumano@materolbia.com, Cusumano, Davide1 |
| Source: | Applied Sciences (2076-3417); Jun2024, Vol. 14 Issue 11, p4844, 11p |
| Database: | Applied Science & Technology Source |
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