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Ground glass opacity detection and segmentation using CT images: an image statistics framework

Ground glass opacity detection and segmentation using CT images: an image statistics framework

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed66e1ee48d54259867ce99fac0a4d1b

Ground glass opacity detection and segmentation using CT images: an image statistics framework

About this item

Full title

Ground glass opacity detection and segmentation using CT images: an image statistics framework

Publisher

John Wiley & Sons, Inc

Journal title

IET Image Processing, 2022-07, Vol.16 (9), p.2432-2445

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Lung cancer is one of the most profound causes of cancer‐related deaths in the world. Early detection is known to significantly improve the chances of survival. Several detection and diagnostic methods are used for this purpose. CT is one of the most widely used non‐invasive medical imaging modalities in this domain. The biggest challenge faced by...

Alternative Titles

Full title

Ground glass opacity detection and segmentation using CT images: an image statistics framework

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ed66e1ee48d54259867ce99fac0a4d1b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed66e1ee48d54259867ce99fac0a4d1b

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.12498

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