Segmentation by test‐time optimization for CBCT‐based adaptive radiation therapy-Reference-Cited by-同舟云学术

Segmentation by test‐time optimization for CBCT‐based adaptive radiation therapy

Published:2022-11-12 Issue:4 Volume:50 Page:1947-1961
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Liang Xiao¹,Chun Jaehee²,Morgan Howard¹,Bai Ti¹,Nguyen Dan¹,Park Justin¹,Jiang Steve¹

Affiliation:

1. Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas Texas USA

2. Department of Radiation Oncology, Yonsei Cancer Center Yonsei University College of Medicine Seoul South Korea

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15960

Reference31 articles.

1. Adaptive Radiation Therapy (ART) Strategies and Technical Considerations: A State of the ART Review From NRG Oncology

2. Advances in Auto-Segmentation

3. Adaptive radiation therapy in head and neck cancer for clinical practice: state of the art and practical challenges

4. Automatic Delineation of On-Line Head-And-Neck Computed Tomography Images: Toward On-Line Adaptive Radiotherapy

5. Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy

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3. Enhancing Radiotherapy Workflow for Head and Neck Cancer with Artificial Intelligence: A Systematic Review;Journal of Personalized Medicine;2023-06-02

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