Stent Deployment Detection Using Radio Frequency‐Based Sensor and Convolutional Neural Networks
Stent Deployment Detection Using Radio Frequency‐Based Sensor and Convolutional Neural Networks
About this item
Full title
Author / Creator
Publisher
Weinheim: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Weinheim: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
A lack of sensory feedback often hinders minimally invasive operations. Although endoscopy has addressed this limitation to an extent, endovascular procedures such as angioplasty or stenting still face significant challenges. Sensors that rely on a clear line of sight cannot be used because it is unable to gather feedback in blood environments. Dur...
Alternative Titles
Full title
Stent Deployment Detection Using Radio Frequency‐Based Sensor and Convolutional Neural Networks
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7a25586355ff490eb45004c0bacb2d21
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7a25586355ff490eb45004c0bacb2d21
Other Identifiers
ISSN
2640-4567
E-ISSN
2640-4567
DOI
10.1002/aisy.202000092
