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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-approach-to-classify-surgical-skill-in-microsurgery-using-force/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jialang Xu,Dimitrios Anastasiou,James Booker,Oliver Burton,Hugo Layard Horsfall,Carmen Salvadores Fernandez,Yang Xue,Danail Stoyanov,Manish K. Tiwari,Hani J. Marcus,Evangelos B. Mazomenos |
| Citations | 17 |
| DOI | 10.3390/s23218947 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/23/21/8947/pdf?version=1698995342 |
| OpenAlex ID | https://openalex.org/W4388288815 |
| PMID | 37960645 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Hani J. Marcus](https://scholariq.org/researchers/hani-j-marcus/)
- [Hugo Layard Horsfall](https://scholariq.org/researchers/hugo-layard-horsfall/)
- [Manish K. Tiwari](https://scholariq.org/researchers/manish-k-tiwari/)
- [Danail Stoyanov](https://scholariq.org/researchers/danail-stoyanov/)
- [Evangelos B. Mazomenos](https://scholariq.org/researchers/evangelos-b-mazomenos/)

## Paper funders

- [Wellcome Trust](https://scholariq.org/funders/wellcome-trust/)
- [Engineering and Physical Sciences Research Council](https://scholariq.org/funders/engineering-and-physical-sciences-research-council/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Paper topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Anatomy and Medical Technology](https://scholariq.org/topics/anatomy-and-medical-technology/)
- [Digital Imaging in Medicine](https://scholariq.org/topics/digital-imaging-in-medicine/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.