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Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole bo...

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole bo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d4a46c8397d64b819d98152734612890

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning

About this item

Full title

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning

Publisher

England: BioMed Central Ltd

Journal title

BMC medical imaging, 2025-02, Vol.25 (1), p.52-12

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

18-Fluoro-deoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) is a valuable imaging tool widely used in the management of cancer patients. Deep learning models excel at segmenting highly metabolic tumors but face challenges in regions with complex anatomy and normal cell uptake, such as the gastro-intestinal tract. Despite th...

Alternative Titles

Full title

Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d4a46c8397d64b819d98152734612890

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d4a46c8397d64b819d98152734612890

Other Identifiers

ISSN

1471-2342

E-ISSN

1471-2342

DOI

10.1186/s12880-025-01587-3

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