Shin-Tseng Lee
Papers
1
Total Citations
2
H-Index
1
About
Shin-Tseng Lee is a researcher whose work bridges computer vision and surgical robotics, with a focus on real-time instrument recognition systems. His most cited contribution, "A vision-based surgical instruments classification system" (2014), introduces an automated, online framework for identifying surgical tools during procedures. By integrating feature extraction and classification, this system enables real-time monitoring, enhancing safety and efficiency in robotic-assisted surgeries. While his citation count remains modest, Lee’s work addresses a critical need in operating rooms: precise, low-latency tracking of instruments to support both human surgeons and autonomous robotic systems. This research lays foundational groundwork for improving surgical workflow, reducing errors, and enabling smarter, context-aware surgical environments. Lee’s contributions reflect a dedication to applied computer vision in high-stakes medical settings, offering a stepping stone for future advancements in surgical automation and intraoperative decision support.
Research Focus
Key Achievements
Top Papers
- 1A vision-based surgical instruments classification system2 citations · 2014