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Brain SegNet: 3D local refinement network for brain lesion segmentation

Brain SegNet: 3D local refinement network for brain lesion segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1619771d581480a841fa37719ba0091

Brain SegNet: 3D local refinement network for brain lesion segmentation

About this item

Full title

Brain SegNet: 3D local refinement network for brain lesion segmentation

Publisher

England: BioMed Central Ltd

Journal title

BMC medical imaging, 2020-02, Vol.20 (1), p.17-17, Article 17

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

MR images (MRIs) accurate segmentation of brain lesions is important for improving cancer diagnosis, surgical planning, and prediction of outcome. However, manual and accurate segmentation of brain lesions from 3D MRIs is highly expensive, time-consuming, and prone to user biases. We present an efficient yet conceptually simple brain segmentation n...

Alternative Titles

Full title

Brain SegNet: 3D local refinement network for brain lesion segmentation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f1619771d581480a841fa37719ba0091

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1619771d581480a841fa37719ba0091

Other Identifiers

ISSN

1471-2342

E-ISSN

1471-2342

DOI

10.1186/s12880-020-0409-2

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