Detection and automatic position control for Head and Neck tumors resection based on artificial intelligent technique

Resection of Head and Neck Swellings by current medical instruments is a time consuming task. It causes injuries in the adjacent structures. In addition, it lacks accuracy. These reasons made it essential to develop an automatic tool for the resection process. The variance and intricacy of the swelling location makes the design of such tool very difficult. The proposed tool makes use of the artificial intelligence. Support vector machine (SVM) algorithms are applied to magnetic resonance images (MRI) to perform classification of the swelling tissues and to determine its location. It also determines the coordinates of the pass from entrance of the tool to the swelling location. The tool is equipped also by a camera for in internal simultaneous imaging during the operation. In addition an aggregation cavity is used to get rid of the blood resulting from the cutting blade mismatch. This increases the efficiency and the quality of the imaging process. The tool is also equipped by a software package to enable the communication between the surgeon and the camera and cutting blade. The resection using the proposed tool improves the accuracy, reduces the operation time and minimizes the injuries to the adjacent tissues.