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 dierent 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 dierent 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 dierent 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.
	This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.