Abstract: Training and evaluation of laparoscopic skills have become an important aspect of young surgeons’ education. The evaluation process is currently performed manually by experienced surgeons through reviewing video recordings of laparoscopic procedures for detecting technical errors using conventional video players and specific pen and paper rating schemes. The problem is, that the manual review process is time-consuming and exhausting, but nevertheless necessary to support young surgeons in their educational training. Motivated by the need to reduce the effort in evaluating laparoscopic skills, we investigate state-of-the-art content analysis approaches for finding error-prone video sections.
Link: http://mlss2018.net.ar/