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Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas

Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6115744

Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas

About this item

Full title

Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas

Publisher

Switzerland: MDPI

Journal title

Genes, 2018-07, Vol.9 (8), p.382

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI

More information

Scope and Contents

Contents

Non-invasive prediction of isocitrate dehydrogenase (
) genotype plays an important role in tumor glioma diagnosis and prognosis. Recently, research has shown that radiology images can be a potential tool for genotype prediction, and fusion of multi-modality data by deep learning methods can further provide complementary information to enhance p...

Alternative Titles

Full title

Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6115744

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6115744

Other Identifiers

ISSN

2073-4425

E-ISSN

2073-4425

DOI

10.3390/genes9080382

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