Semantic Segmentation
Data Efficiency • Robust Features • Real-Time
Semantic Segmentation
Being able to identify different semantic regions, such as various types of tissues, organs, and instruments, in surgical scenes is critical for the robot to understand the current progress of the surgery, assess potential risks, and plan the next steps. Surgical scenes present many challenges, including blood, smoke, motion blur, and varying lighting conditions.
Related Publications
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
Medical Image Analysis 2024
Multi-Frame Feature Aggregation for Real-Time Instrument Segmentation in Endoscopic Video
IEEE Robotics and Automation Letters 2021
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision
IEEE Robotics and Automation Letters 2020