A joint learning framework for multisite CBCT-to-CT translation using a hybrid CNN-transformer synthesizer and a registration network

A joint learning framework for multisite CBCT-to-CT translation using a hybrid CNN-transformer synthesizer and a registration network

BackgroundCone-beam computed tomography (CBCT) is a convenient method for adaptive radiation therapy (ART), but its application is often hindered by its image quality. We aim to develop a unified deep learning model that can consistently enhance the quality of CBCT images across various anatomical s...

Olles dieđut

Bibliográfalaš dieđut
Váldodahkkit: Ying Hu, Mengjie Cheng, Hui Wei, Zhiwen Liang
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Frontiers Media S.A. 2024-08-01
Ráidu:Frontiers in Oncology
Fáttát:
CBCT
synthetic CT
deep learning
hybrid transformer
adaptive radiotherapy
Liŋkkat:https://www.frontiersin.org/articles/10.3389/fonc.2024.1440944/full

Interneahtta

https://www.frontiersin.org/articles/10.3389/fonc.2024.1440944/full

Geahča maid