Machine learning for dose-volume histogram based clinical decision-making support system in radiation therapy plans for brain tumors-Reference-Cited by-同舟云学术

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Machine learning for dose-volume histogram based clinical decision-making support system in radiation therapy plans for brain tumors

Published:2021-11 Issue: Volume:31 Page:50-57
ISSN:2405-6308
Container-title:Clinical and Translational Radiation Oncology
language:en
Short-container-title:Clinical and Translational Radiation Oncology

Author:

Siciarz Pawel,Alfaifi Salem,Uytven Eric Van,Rathod Shrinivas,Koul Rashmi,McCurdy Boyd

Funder

University of Manitoba

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Oncology

Reference50 articles.

1. Chao KSC. Practical Essentials of Intensity Modulated Radiation Therapy. Wolters Kluwer Health; 2013.

2. Gaya A, Mahadevan A. Stereotactic Body Radiotherapy: A Practical Guide. Springer London; 2015.

3. Xia P, Godley A, Shah C, Gregory M. M. Videtic MDCMF, Suh J. Strategies for Radiation Therapy Treatment Planning. Springer Publishing Company; 2018.

4. Li N, Carmona R, Sirak I, et al. Highly efficient training, refinement, and validation of a knowledge-based planning quality-control system for radiation therapy clinical trials. International Journal of Radiation Oncology* Biology* Physics. 2017;97(1):164-172.

5. Is it possible for knowledge-based planning to improve intensity modulated radiation therapy plan quality for planners with different planning experiences in left-sided breast cancer patients?;Wang;Radiation Oncol,2017

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