Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
May 19, 2021
Abstract
PURPOSE: Automatic segmentation and classification of surgical activity is crucial for providing advanced support in computer-assisted interventions and autonomous functionalities in robot-assisted surgeries. Prior works have focused on recognizing either coarse activities, such as phases, or fine-grained activities, such as gestures. This work aims at jointly recognizing two complementary levels of granularity directly from videos, namely phases and steps.