Estimation of the central-axis-reference percent depth dose in a water phantom using artificial intelligence-Reference-Cited by-同舟云学术

Estimation of the central-axis-reference percent depth dose in a water phantom using artificial intelligence

Published:2021-01-01 Issue:1 Volume:14 Page:91-104
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Patlan-Cardoso Fernando¹,Rodríguez-Romo Suemi¹^ORCID,Ibáñez-Orozco Oscar¹,Rodríguez-Vázquez Katya²,Vergara-Martínez Francisco Javier³

Affiliation:

1. Centro de Investigaciones Teóricas., Facultad de Estudios Superiores Cuautitlán, Universidad Nacional Autónoma de México, Cuautitlán Izcalli, México

2. Universidad Nacional Autónoma de México, Cuautitlán Izcalli, México

3. Departamento de Metrología, Instituto Nacional de Investigaciones Nucleares, Cuautitlán Izcalli, Mexico

Funder

Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México

Consejo Nacional de Ciencia y Tecnologi

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/16878507.2020.1857114

Reference41 articles.

1. Hybrid Fuzzy-Genetic Approach Integrating Peak Identification and Spectrum Fitting for Complex Gamma-Ray Spectra Analysis

2. An investigation of the depth dose in the build-up region, andsurface dose for a 6-MV therapeutic photon beam: Monte Carlo simulation and measurements

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