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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Jessica Prunaretty, Lorenzo Colombo, Sami Romdhani, Olivier Teboul, David Azria, Nikolaos Paragyios, Pascal Fenoglietto
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2026-02-01
Edice:	Frontiers in Oncology
Témata:	adaptive radiotherapy artificial intelligence CBCT deep learning synthetic CT
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fonc.2026.1756153/full
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!