Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review-Reference-Cited by-同舟云学术

Deep learning methods for enhancing cone‐beam CT image quality toward adaptive radiation therapy: A systematic review

Published:2022-07-18 Issue:9 Volume:49 Page:6019-6054
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Rusanov Branimir¹²^ORCID,Hassan Ghulam Mubashar¹^ORCID,Reynolds Mark¹^ORCID,Sabet Mahsheed¹²^ORCID,Kendrick Jake¹²^ORCID,Rowshanfarzad Pejman¹²^ORCID,Ebert Martin¹²^ORCID

Affiliation:

1. School of Physics Mathematics and Computing The University of Western Australia Perth Western Australia Australia

2. Department of Radiation Oncology Sir Charles Gairdner Hospital Perth Western Australia Australia

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15840

Reference129 articles.

1. The Royal Australian and New Zealand College of Radiologists.Artificial Intelligence in Radiology and Radiation Oncology: The State of Play 2019.The Royal Australian and New Zealand College of Radiologists;2019.

2. Adaptive radiotherapy for head and neck cancer;Castelli J;Acta Oncol,2018

3. Adaptive radiotherapy for head and neck cancer

4. Adaptive radiotherapy in lung cancer: dosimetric benefits and clinical outcome

5. Adaptive radiotherapy strategies for pelvic tumors – a systematic review of clinical implementations

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transformer CycleGAN with uncertainty estimation for CBCT based synthetic CT in adaptive radiotherapy;Physics in Medicine & Biology;2024-01-30

2. Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review;IEEE Access;2024

3. CBCT-to-CT Synthesis for Cervical Cancer Adaptive Radiotherapy via U-Net-Based Model Hierarchically Trained with Hybrid Dataset;Cancers;2023-11-20

4. Evaluation of a novel CBCT conversion method implemented in a treatment planning system;Radiation Oncology;2023-11-16

5. Efficient segmentation using domain adaptation for MRI-guided and CBCT-guided online adaptive radiotherapy;Radiotherapy and Oncology;2023-11