Advanced algorithms of SLAM in medical endoscopy

Endoscopy is one of the cornerstones in the field of gastroenterology. The growth of image technology in recent years has given technological support for the expertise of the medical device sector, particularly in the area of medical imaging. Computer vision uses real-time Localization and Mapping Create SLAM (simultaneous localization and mapping). The purpose of SLAM technology is to map the location environment, and at the same time use the signal provided by the sensors to locate the sensor system in the environment. In order to simplify the navigation system for minimally invasive abdominal surgery, a laparoscopic navigation system based on SLAM was developed. Combining medical information with real-time laparoscopic video can increase the doctor’s field of view, assist in identifying critical areas, and enable safer and more effective surgical procedures. The purpose of this paper is to study how SLAM technology can solve some problems in minimally invasive surgery in medical endoscopy and to look forward to the bright future of SLAM technology and medical endoscopy.