# Surgical Skill Assessment Automation Based on Sparse Optical Flow Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/surgical-skill-assessment-automation-based-on-sparse-optical-flow-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gábor Lajkó,Renáta Nagyné Elek,Tamás Haidegger |
| Citations | 6 |
| DOI | 10.1109/ines52918.2021.9512917 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3195003810 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Gábor Lajkó](https://scholariq.org/researchers/gabor-lajko/)
- [Renáta Nagyné Elek](https://scholariq.org/researchers/renata-nagyne-elek/)
- [Tamás Haidegger](https://scholariq.org/researchers/tamas-haidegger/)

## 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/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-applications/)
- [Soft Robotics and Applications](https://scholariq.org/topics/soft-robotics-and-applications/)

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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.