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U-Net combined with multi-scale attention mechanism for liver segmentation in CT images

U-Net combined with multi-scale attention mechanism for liver segmentation in CT images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5ec0078bc60045c2b84b428004b7ac33

U-Net combined with multi-scale attention mechanism for liver segmentation in CT images

About this item

Full title

U-Net combined with multi-scale attention mechanism for liver segmentation in CT images

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2021-10, Vol.21 (1), p.283-283, Article 283

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The liver is an important organ that undertakes the metabolic function of the human body. Liver cancer has become one of the cancers with the highest mortality. In clinic, it is an important work to extract the liver region accurately before the diagnosis and treatment of liver lesions. However, manual liver segmentation is a time-consuming and bor...

Alternative Titles

Full title

U-Net combined with multi-scale attention mechanism for liver segmentation in CT images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5ec0078bc60045c2b84b428004b7ac33

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5ec0078bc60045c2b84b428004b7ac33

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-021-01649-w

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