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Data for TROTS – The Radiotherapy Optimisation Test Set

The Radiotherapy Optimisation Test Set (TROTS) is an extensive set of problems originating from radiotherapy (radiation therapy) treatment planning. This dataset is created for 2 purposes: (1) to supply a large-scale dense dataset to measure performance and quality of mathematical solvers, and (2) t...

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Detalles Bibliográficos
Autores principales: Breedveld, Sebastiaan, Heijmen, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387893/
https://www.ncbi.nlm.nih.gov/pubmed/28417100
http://dx.doi.org/10.1016/j.dib.2017.03.037
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author Breedveld, Sebastiaan
Heijmen, Ben
author_facet Breedveld, Sebastiaan
Heijmen, Ben
author_sort Breedveld, Sebastiaan
collection PubMed
description The Radiotherapy Optimisation Test Set (TROTS) is an extensive set of problems originating from radiotherapy (radiation therapy) treatment planning. This dataset is created for 2 purposes: (1) to supply a large-scale dense dataset to measure performance and quality of mathematical solvers, and (2) to supply a dataset to investigate the multi-criteria optimisation and decision-making nature of the radiotherapy problem. The dataset contains 120 problems (patients), divided over 6 different treatment protocols/tumour types. Each problem contains numerical data, a configuration for the optimisation problem, and data required to visualise and interpret the results. The data is stored as HDF5 compatible Matlab files, and includes scripts to work with the dataset.
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spelling pubmed-53878932017-04-17 Data for TROTS – The Radiotherapy Optimisation Test Set Breedveld, Sebastiaan Heijmen, Ben Data Brief Data Article The Radiotherapy Optimisation Test Set (TROTS) is an extensive set of problems originating from radiotherapy (radiation therapy) treatment planning. This dataset is created for 2 purposes: (1) to supply a large-scale dense dataset to measure performance and quality of mathematical solvers, and (2) to supply a dataset to investigate the multi-criteria optimisation and decision-making nature of the radiotherapy problem. The dataset contains 120 problems (patients), divided over 6 different treatment protocols/tumour types. Each problem contains numerical data, a configuration for the optimisation problem, and data required to visualise and interpret the results. The data is stored as HDF5 compatible Matlab files, and includes scripts to work with the dataset. Elsevier 2017-04-01 /pmc/articles/PMC5387893/ /pubmed/28417100 http://dx.doi.org/10.1016/j.dib.2017.03.037 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Breedveld, Sebastiaan
Heijmen, Ben
Data for TROTS – The Radiotherapy Optimisation Test Set
title Data for TROTS – The Radiotherapy Optimisation Test Set
title_full Data for TROTS – The Radiotherapy Optimisation Test Set
title_fullStr Data for TROTS – The Radiotherapy Optimisation Test Set
title_full_unstemmed Data for TROTS – The Radiotherapy Optimisation Test Set
title_short Data for TROTS – The Radiotherapy Optimisation Test Set
title_sort data for trots – the radiotherapy optimisation test set
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387893/
https://www.ncbi.nlm.nih.gov/pubmed/28417100
http://dx.doi.org/10.1016/j.dib.2017.03.037
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