RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network

Understand

Segmentation for tracking surgical instruments plays an important role in robot-assisted surgery.

• Segmentation of surgical instruments contributes to capturing accurate spatial information for tracking.
• In this paper, a novel network, Refined Attention Segmentation Network, is proposed to simultaneously segment surgical instruments and identify their categories.
• The U-shape network which is popular in segmentation is used.