Part of the Endoscopic Vision Challenge
Analyzing the surgical workflow is a prerequisite for many
applications in computer assisted surgery (CAS), such as context-aware
visualization of navigation information, specifying the most probable
tool required next by the surgeon or determining the remaining duration
of surgery. Since laparoscopic surgeries are performed using an
endoscopic camera, a video stream is always available during surgery,
making it the obvious choice as input sensor data for workflow analysis. Moreover, this offers the opportunity for structured assessment of surgical skill for safety, teaching and quality management.
The sub-challenge “Surgical Workflow and Skill Analysis”
focuses on the online workflow analysis of laparoscopic surgeries.
Participants are challenged to segment laparoscopic surgeries for gallbladder removal (cholecystectomy) into
surgical phases, to recognize instrument presence and surgical actions as well as to classify surgical skill based on video data. Participants are
encouraged (but not required!) to submit different results for phase segmentation, action recognition, instrument presence and skill classification . This novel kind of
challenge investigates the current state-of-the-art results on surgical workflow analysis and skill assessment on one comprehensive dataset.