지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.2
- 수록면
- 326 - 330 (5page)
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초록· 키워드
오류제보하기
Robot-assisted surgery that uses robotic systems, such as DaVinci®, with minimal invasive procedure has Been growing over the past years rapidly. However, the technical development for more dexterous and safer operation is still in early stage, and there are several problems remain to be overcome in the robotic surgery. Typical medical problems using a surgical robot system are collision of surgical instruments and tissue damages caused by miscontrolling surgical tools. Therefore, identifying and tracking the position of each surgical instrument in real time during robot-assisted surgery can prevent medical accidents. However, it is difficult to detect the surgical instruments on endoscopic vision due to its complexity, non-uniformity of scene, time-varying lighting condition, back-light, and high surface reflectance, etc. This study proposes several algorithms for tracking surgical instruments, which is robust against the various characteristics of endoscopic images in robot-assisted surgery.
목차
ABSTRACT
1. 서론
2. 방법 및 결과
3. 결론
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UCI(KEPA) : I410-ECN-0101-2015-500-002695049