Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

Understand

Semantic segmentation of robotic instruments is an important problem for the robot-assisted surgery.

• One of the main challenges is to correctly detect an instrument's position for the tracking and pose estimation in the vicinity of surgical scenes.
• Accurate pixel-wise instrument segmentation is needed to address this challenge.
• In this paper we describe our winning solution for MICCAI 2017 Endoscopic Vision SubChallenge: Robotic Instrument Segmentation.