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Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging–Based Skeletal C...

Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging–Based Skeletal C...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3034248370

Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging–Based Skeletal Calf Muscle Perfusion in Peripheral Artery Disease

About this item

Full title

Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging–Based Skeletal Calf Muscle Perfusion in Peripheral Artery Disease

Publisher

United States: Elsevier Inc

Journal title

The American journal of cardiology, 2024-06, Vol.220, p.56-66

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Peripheral artery disease (PAD) is associated with impaired blood flow in the lower extremities and histopathologic changes of the skeletal calf muscles, resulting in abnormal microvascular perfusion. We studied the use of convolution neural networks (CNNs) to differentiate patients with PAD from matched controls using perfusion pattern features fr...

Alternative Titles

Full title

Convolutional Neural Networks to Study Contrast-Enhanced Magnetic Resonance Imaging–Based Skeletal Calf Muscle Perfusion in Peripheral Artery Disease

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_3034248370

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3034248370

Other Identifiers

ISSN

0002-9149,1879-1913

E-ISSN

1879-1913

DOI

10.1016/j.amjcard.2024.03.035

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