Name
Abstract | ||
|---|---|---|
Video-Endoscopy has proven to be significantly less invasive to the patient. However, it also creates a more complex and difficult operating environment that requires the surgeon to operate through a video interface. Visual feedback control and image interpretation in this operating environment can be troublesome. Automated image analysis has tremendous potential in improving the surgeon's visual feedback, resulting in better patient safety, reduced operation time, and savings in health care. In this paper, we present our design of an image rectification algorithm for maintaining the head-up display in video-endoscopy and report some preliminary results. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45468-3_249 | MICCAI |
Keywords | Field | DocType |
automated image rectification,visual feedback control,difficult operating environment,image interpretation,health care,better patient safety,operating environment,visual feedback,automated image analysis,head-up display,image rectification algorithm,computer graphic,reference frame,image analysis,image segmentation,head up display | Health care,Computer vision,Operating environment,Patient safety,Computer science,Image rectification,Endoscopy,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
3-540-42697-3 | 2 | 0.46 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dan Koppel | 1 | 5 | 1.75 |
| Yuan-Fang Wang | 2 | 835 | 137.72 |
| Hua Lee | 3 | 109 | 11.38 |