Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer-Reference-Cited by-同舟云学术

Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer

Published:2021-11-16 Issue:12 Volume:48 Page:7673-7684
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Thummerer Adrian¹,Seller Oria Carmen¹,Zaffino Paolo²,Meijers Arturs¹,Guterres Marmitt Gabriel¹,Wijsman Robin¹,Seco Joao³⁴,Langendijk Johannes Albertus¹,Knopf Antje‐Christin¹⁵,Spadea Maria Francesca²,Both Stefan¹

Affiliation:

1. Department of Radiation Oncology University Medical Center Groningen University of Groningen Groningen The Netherlands

2. Department of Experimental and Clinical Medicine Magna Graecia University Catanzaro Italy

3. Department of Biomedical Physics in Radiation Oncology Deutsches Krebsfoschungszentrum (DKFZ) Heidelberg Germany

4. Department of Physics and Astronomy Heidelberg University Heidelberg Germany

5. Department I of Internal Medicine Center for Integrated Oncology Cologne University Hospital of Cologne Cologne Germany

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15333

Reference44 articles.

1. The physics of proton therapy

2. Adaptive Radiotherapy for Lung Cancer

3. Adaptive Radiotherapy for Anatomical Changes

4. Online daily adaptive proton therapy

5. Feasibility of CBCT-based dose calculation: Comparative analysis of HU adjustment techniques

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