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A pilot study of machine-learning based automated planning for primary brain tumours

A pilot study of machine-learning based automated planning for primary brain tumours

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9afe593b499341e6a5e672a6c3515d4b

A pilot study of machine-learning based automated planning for primary brain tumours

About this item

Full title

A pilot study of machine-learning based automated planning for primary brain tumours

Publisher

England: BioMed Central Ltd

Journal title

Radiation oncology (London, England), 2022-01, Vol.17 (1), p.3-3, Article 3

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

High-quality radiotherapy (RT) planning for children and young adults with primary brain tumours is essential to minimize the risk of late treatment effects. The feasibility of using automated machine-learning (ML) to aid RT planning in this population has not previously been studied.
We developed a ML model that identifies learned relationships...

Alternative Titles

Full title

A pilot study of machine-learning based automated planning for primary brain tumours

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9afe593b499341e6a5e672a6c3515d4b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9afe593b499341e6a5e672a6c3515d4b

Other Identifiers

ISSN

1748-717X

E-ISSN

1748-717X

DOI

10.1186/s13014-021-01967-3

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