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SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images

SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_00b3e98bbec4402fb2c0d76e02de37f0

SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images

About this item

Full title

SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images

Publisher

John Wiley & Sons, Inc

Journal title

IET Image Processing, 2021-10, Vol.15 (12), p.2818-2832

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Ischemic stroke is the most common stroke and the leading cause of
disability and death in the world. Computed tomography (CT) is a popular and
economical diagnostic device for the stroke, However the ischemic stroke
lesions are not evident on CT images and the diagnostic result relies on the
visual observation of neurologists, which ma...

Alternative Titles

Full title

SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_00b3e98bbec4402fb2c0d76e02de37f0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_00b3e98bbec4402fb2c0d76e02de37f0

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.12267

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