Abstract
In this paper, a simplified 2D navigation system for hysteroscopy imaging was introduced. This system was evaluated in virtual endometrium models, and the position sensor measurement errors were very small and acceptable by the physician. The 2D navigation system, combined with quantitative image analysis will help the physician in gaining a better understanding of the pathophysiology of the tissue under investigation. Key words: Endometrial Cancer, Navigation, Hysteroscopy Imaging.
| Original language | English |
|---|---|
| Title of host publication | Computer Systems and Technologies - 12th International Conference, CompSysTech'11 - Proceedings |
| Pages | 347-352 |
| Number of pages | 6 |
| Volume | 578 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 12th International Conference on Computer Systems and Technologies, CompSysTech'11 - Vienna, Austria Duration: 16 Jun 2011 → 17 Jun 2011 |
Other
| Other | 12th International Conference on Computer Systems and Technologies, CompSysTech'11 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 16/06/11 → 17/06/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Endometrial Cancer
- Hysteroscopy Imaging
- Navigation
Fingerprint
Dive into the research topics of 'A simplified 2D real time navigation system for hysteroscopy imaging'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver