External validation of a hidden Markov model for gamma‐based classification of anatomical changes in lung cancer patients using EPID dosimetry-Reference-Cited by-同舟云学术

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External validation of a hidden Markov model for gamma‐based classification of anatomical changes in lung cancer patients using EPID dosimetry

Published:2020-08-04 Issue:10 Volume:47 Page:4675-4682
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Wolfs Cecile J. A.¹,Varfalvy Nicolas²,Canters Richard A. M.¹,Nijsten Sebastiaan M. J. J. G.¹,Hattu Djoya¹,Archambault Louis²³,Verhaegen Frank¹

Affiliation:

1. Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht The Netherlands

2. Département de Radio‐oncologie CHU de Québec Québec QC Canada

3. Physics Department Université Laval Québec City QC Canada

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14385

Reference30 articles.

1. Anatomical Changes during Radiotherapy of Lung Cancer Patients

2. Intra thoracic anatomical changes in lung cancer patients during the course of radiotherapy

3. Adaptive radiotherapy of lung cancer patients with pleural effusion or atelectasis

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

5. Is integrated transit planar portal dosimetry able to detect geometric changes in lung cancer patients treated with volumetric modulated arc therapy?

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2. Exploring Hidden Markov Models in the Context of Genetic Disorders, and Related Conditions: A Systematic Review;Applied and Computational Mathematics;2024-07-05

3. Multivariate Beta-Based Hierarchical Dirichlet Process Hidden Markov Models in Medical Applications;Unsupervised and Semi-Supervised Learning;2022

4. Deep Neural Network with Structural Similarity Difference and Orientation-based Loss for Position Error Classification in The Radiotherapy of Graves' Ophthalmopathy Patients;IEEE Journal of Biomedical and Health Informatics;2021

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