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Article

Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status.

Journal of neuro-oncology - 1 Sept 2018

De Looze Céline, Beausang Alan, Cryan Jane, Loftus Teresa, Buckley Patrick G, Farrell Michael, Looby Seamus, Reilly Richard, Brett Francesca, Kearney Hugh

Abstract excerpt

INTRODUCTION: Machine learning methods have been introduced as a computer aided diagnostic tool, with applications to glioma characterisation on MRI. Such an algorithmic approach may provide a useful adjunct for a rapid and accurate diagnosis of a glioma. The aim of this study is to devise a machine learning algorithm that may be used by radiologists in routine practice to aid diagnosis of both: WHO grade and IDH...

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Identifiers

PMID: 29770897
DOI: 10.1007/s11060-018-2895-4

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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