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EP153 Optimal view detection for ultrasound-guided supraclavicular block using deep learning approac...

EP153 Optimal view detection for ultrasound-guided supraclavicular block using deep learning approac...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2874735483

EP153 Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches

About this item

Full title

EP153 Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches

Publisher

Secaucus: BMJ Publishing Group LTD

Journal title

Regional anesthesia and pain medicine, 2023, Vol.48 (Suppl 1), p.A122-A123

Language

English

Publication information

Publisher

Secaucus: BMJ Publishing Group LTD

More information

Scope and Contents

Contents

Background and AimsSuccessful ultrasound-guided supraclavicular block (SCB) requires the understanding of sonoanatomy and identification of the optimal view. Segmentation using a convolutional neural network (CNN) is limited in clearly determining the optimal view. The present study aims to develop a computer-aided diagnosis (CADx) system using a C...

Alternative Titles

Full title

EP153 Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2874735483

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2874735483

Other Identifiers

ISSN

1098-7339

E-ISSN

1532-8651

DOI

10.1136/rapm-2023-ESRA.214

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