Patient-specific IMRT QA verification using machine learning and gamma radiomics-Reference-Cited by-同舟云学术

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Patient-specific IMRT QA verification using machine learning and gamma radiomics

Published:2021-02 Issue: Volume:82 Page:100-108
ISSN:1120-1797
Container-title:Physica Medica
language:en
Short-container-title:Physica Medica

Author:

Lizar Jéssica Caroline,Yaly Carolina Cariolatto,Colello Bruno Alexandre,Viani Gustavo Arruda,Pavoni Juliana Fernandes

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Radiology, Nuclear Medicine and imaging,General Medicine,Biophysics

Reference28 articles.

1. IMRT with the sliding window: Comparison of the static and dynamic methods;Nicolini;Dosimetric and spectral analysis. Radiother Oncol,2005

2. A.C. Hartford J.M. Galvin D.C. Beyer T.J. Eichler G.S. Ibbott B. Kavanagh et al. American College of Radiology (ACR) and American Society for Radiation Oncology (ASTRO) Practice Guideline for Intensity-modulated Radiation Therapy (IMRT) 35 6 2012 612 617 10.1097/COC.0b013e31826e0515.

3. Booklet 9: Guidelines for the verification of IMRT;Alber;Brussels,2008

4. Treatment plan verification: A review on the comparison of dose distributions;Diamantopoulos;Phys Medica,2019

Cited by 12 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. Prediction of patient‐specific quality assurance for volumetric modulated arc therapy using radiomics‐based machine learning with dose distribution;Journal of Applied Clinical Medical Physics;2023-11-21

2. Establishment and interpretation of the gamma pass rate prediction model based on radiomics for different intensity-modulated radiotherapy techniques in the pelvis;Frontiers in Physics;2023-08-10

3. Application of error classification model using indices based on dose distribution for characteristics evaluation of multileaf collimator position errors;Scientific Reports;2023-07-07

4. Prediction and interpretation of gamma pass rate based on SHAP value feature selection;2023-05-26

5. Patient-specific quality assurance failure prediction with deep tabular models;Biomedical Physics & Engineering Express;2023-05-12

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