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Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation

Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracacademiconefile_A709902255

Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation

About this item

Full title

Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation

Publisher

Basel, Switzerland: S. Karger AG

Journal title

Journal of vascular research, 2021-11, Vol.58 (6), p.379-387

Language

English

Formats

Publication information

Publisher

Basel, Switzerland: S. Karger AG

More information

Scope and Contents

Contents

Background: Pressurized myography is useful for the assessment of small artery structures and function. However, this procedure requires technical expertise for sample preparation and effort to choose an appropriate sized artery. In this study, we developed an automatic artery/vein differentiation and a size measurement system utilizing machine lea...

Alternative Titles

Full title

Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_gale_infotracacademiconefile_A709902255

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracacademiconefile_A709902255

Other Identifiers

ISSN

1018-1172

E-ISSN

1423-0135

DOI

10.1159/000516842

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