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A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tis...

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tis...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2883582930

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue Compartments in MRI

About this item

Full title

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue Compartments in MRI

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2023-12, Vol.167, p.107608-107608, Article 107608

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractBackgroundExisting literature has highlighted structural, physiological, and pathological disparities among abdominal adipose tissue (AAT) sub-depots. Accurate separation and quantification of these sub-depots are crucial for advancing our understanding of obesity and its comorbidities. However, the absence of clear boundaries between the s...

Alternative Titles

Full title

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue Compartments in MRI

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2883582930

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2883582930

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2023.107608

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