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

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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