Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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M. Alsheakhali, A. Eslami, N. Navab
Microscopic Surgical Tool Type Detection
Proceedings of MICCAI Workshop on Interventional Microscopy (IM), October. 2015, Munich, Germany (bib)

Retinal Microsurgery is performed with tiny surgical instru- ments which are observed through a microscope. These instruments can have di erent tip's shape based on their types. The divesity of these types makes tracking and detecting of these instruments very complicated pro- cess. Therefore, having prior information about the di erent tool types allows to select the right model to be used in matching, detecting, and tracking. In this work, a new technique is proposed to detect the tool type online, which can be integrated in any tracking and detection based system. To detect the tool-type, a deep convolutional neural network is learned o -line from di erent tools types, and used on-line to predict the type of the tool present within a small box during the live-surgery. The results demonstrated a high accuracy in the tool-type detection.
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