Deterministic small‐scale undulations of image‐based risk predictions from the deep learning of lung tumors in motion-Reference-Cited by-同舟云学术

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Deterministic small‐scale undulations of image‐based risk predictions from the deep learning of lung tumors in motion

Published:2022-09-23 Issue:11 Volume:49 Page:7347-7356
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Teo P. Troy¹,Bajaj Amishi¹,Randall James¹,Lou Bin²,Shah Jainil³,Gopalakrishnan Mahesh¹,Kamen Ali²,Abazeed Mohamed E.¹⁴

Affiliation:

1. Department of Radiation Oncology Northwestern University Feinberg School of Medicine Chicago Illinois USA

2. Digital Technology and Innovation Division Siemens Healthineers Princeton New Jersey USA

3. Diagnostic Imaging Computed Tomography Siemens Healthineers Malvern Pennsylvania USA

4. Robert H. Lurie Comprehensive Cancer Center Northwestern University Chicago Illinois USA

Funder

National Institutes of Health

American Lung Association

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15869

Reference38 articles.

1. Long-term Results of RTOG 0236: A Phase II Trial of Stereotactic Body Radiation Therapy (SBRT) in the Treatment of Patients with Medically Inoperable Stage I Non-Small Cell Lung Cancer

2. Stereotactic Body Radiation Therapy for Operable Early-Stage Lung Cancer

3. Safety and Efficacy of a Five-Fraction Stereotactic Body Radiotherapy Schedule for Centrally Located Non–Small-Cell Lung Cancer: NRG Oncology/RTOG 0813 Trial

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1. Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques;Expert Systems with Applications;2024-12

2. Artificial intelligence‐based motion tracking in cancer radiotherapy: A review;Journal of Applied Clinical Medical Physics;2024-08-28

3. Image-Based Deep Neural Network for Individualizing Radiotherapy Dose Is Transportable Across Health Systems;JCO Clinical Cancer Informatics;2023-01

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