Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Jun 26, 2020
Abstract
PURPOSE: Inexpensive benchtop training systems offer significant advantages to meet the increasing demand of training surgeons and gastroenterologists in flexible endoscopy. Established scoring systems exist, based on task duration and mistake evaluation. However, they require trained human raters, which limits broad and low-cost adoption. There is an unmet and important need to automate rating with machine learning.