Espadon, an R package for automation, exploitation and processing of DICOM files in medical physics and clinical research

Author:

Fontbonne CathyORCID,Fontbonne Jean-MarcORCID,Azemar Nathan

Publisher

Elsevier BV

Subject

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

Reference19 articles.

1. CT-derived radiomic analysis for predicting the survival rate of patients with non-small cell lung cancer receiving radiotherapy;Zhang;Phys Med,2023

2. New dosimetric parameters to predict ano-rectal toxicity during radiotherapy treatment;Sanfratello;Phys Med,2022

3. R: A language and environment for statistical computing;R Core Team,2021

4. Fontbonne Cathy et al (Online; accessed 2023-03-21) “Easy Study of Patient DICOM Data in Oncology [R Package Espadon Version 1.3.1].” The Comprehensive R Archive Network , Comprehensive R Archive Network (CRAN), 3 Mar. 2023, https://CRAN.R-project.org/package=espadon.

5. Combes S, Bacry E, Fontbonne C. Health Data Hub ; plateforme des données de santé en France, application à l’oncologie radiothérapie Cancer Radiother 2020;24(6-7):762-767, ISSN 1278-3218. doi: 10.1016/j.canrad.2020.07.003.

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