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arXiv · 1610.08854

Tool and Phase recognition using contextual CNN features

Manish Sahu·Anirban Mukhopadhyay·Angelika Szengel·Stefan Zachow
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Abstract

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.

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Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, Stefan Zachow. 2016-10-27. Tool and Phase recognition using contextual CNN features. https://arxiv.org/abs/1610.08854

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