Tool and Phase recognition using contextual CNN features

Understand

A transfer learning method for generating features suitable for surgical tools and phase recognition from the ImageNet classification features [1] is proposed here.

• In addition, methods are developed for generating contextual features and combining them with time series analysis for final classification using multi-class random forest.
• The proposed pipeline is tested over the training and testing datasets of M2CAI16 challenges: tool and phase detection.
• Encouraging results are obtained by leave-one-out cross validation evaluation on the training dataset.