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Self-learning GAN based synthetic CT generation: unlocking CBCT-based adaptive radiotherapy

Purpose/objectivesThis study proposes and clinically evaluates synthetic CT (sCT) images generated from multi-center CBCT scans using artificial intelligence, with the aim of fully leveraging CBCT for adaptive radiotherapy in patients with pelvic, head-and-neck, lung, and breast cancer.Materials and...

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Principais autores: Jessica Prunaretty, Lorenzo Colombo, Sami Romdhani, Olivier Teboul, David Azria, Nikolaos Paragyios, Pascal Fenoglietto
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2026-02-01
Serier:Frontiers in Oncology
Fag:
adaptive radiotherapy
artificial intelligence
CBCT
deep learning
synthetic CT
Online adgang:https://www.frontiersin.org/articles/10.3389/fonc.2026.1756153/full
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