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A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Se...

A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Se...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5e203c1329bc4ec68f727324f3f3dfd9

A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove

About this item

Full title

A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-11, Vol.23 (21), p.8947

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Microsurgery serves as the foundation for numerous operative procedures. Given its highly technical nature, the assessment of surgical skill becomes an essential component of clinical practice and microsurgery education. The interaction forces between surgical tools and tissues play a pivotal role in surgical success, making them a valuable indicat...

Alternative Titles

Full title

A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5e203c1329bc4ec68f727324f3f3dfd9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5e203c1329bc4ec68f727324f3f3dfd9

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23218947

How to access this item