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

G. Gouid, A. A. Nasser, M. Z. Mostafa, D. El-Hennawi
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Abstract

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.
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基于支持向量机的切削刀片速度与头颈部组织肿胀的匹配
本文的目的是确保切割刀片速度与被切除组织之间的相容性,而不会造成撕裂。这保持了肿瘤附近组织的完整性。将支持向量机(SVM)算法应用于头颈部肿瘤图像。这包括两个主要步骤,确定有撕裂伤的区域,并测量撕裂伤的百分比。将该算法应用于腺样体和头颈部肿瘤组织切除手术前后的20组真实图像数据。接下来是计算切割刀片所施加的力,切割角度,以及导致最小撕裂的切割速度。仿真结果与实际运行结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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