Matching between the cutting blade velocity and tissue swelling of Head and Neck using Support Vector Machine

The objective of this paper is to ensure compatibility between cutting blade velocity and the removed tissues without lacerations. This maintains the integrity of the tissues adjacent to the tumor. A Support Vector Machine (SVM) algorithm is applied to the Head and Neck tumors images. This includes two main steps, identifying the region having Laceration, and measuring the percentage of the laceration. The algorithm is applied to 20 sets of real data in the form of images for the adenoid and head and neck tumor tissues before and after the removal operation. This is followed by calculating the force exerted by the cutting blade, the cutting angle, and the cutting velocity that causes minimum laceration. The simulation results show good agreement with the actual operation results.