# Automatic data-driven real-time segmentation and recognition of surgical workflow

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-data-driven-real-time-segmentation-and-recognition-of-surgical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Olga Dergachyova,David Bouget,Arnaud Huaulmé,Xavier Morandi,Pierre Jannin |
| Citations | 138 |
| DOI | 10.1007/s11548-016-1371-x |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2308279915 |
| PMID | 26995598 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Arnaud Huaulmé](https://scholariq.org/researchers/arnaud-huaulme/)
- [Xavier Morandi](https://scholariq.org/researchers/xavier-morandi/)

## Paper journal

- [International Journal of Computer Assisted Radiology and Surgery](https://scholariq.org/journals/international-journal-of-computer-assisted-radiology-and-surgery/)

## 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/)
- [Healthcare Technology and Patient Monitoring](https://scholariq.org/topics/healthcare-technology-and-patient-monitoring/)
- [Healthcare Operations and Scheduling Optimization](https://scholariq.org/topics/healthcare-operations-and-scheduling-optimization/)

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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.