# Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/endoscopic-image-based-skill-assessment-in-robot-assisted-minimally-invasive/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gábor Lajkó,Renáta Nagyné Elek,Tamás Haidegger |
| Citations | 39 |
| DOI | 10.3390/s21165412 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/21/16/5412/pdf?version=1628664677 |
| OpenAlex ID | https://openalex.org/W3188267885 |
| PMID | 34450854 |
| Type | article |
| 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 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/)
- [Augmented Reality Applications](https://scholariq.org/topics/augmented-reality-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.