In radiotherapy, the location of the target area is very important. If the target area is small, the treatment is not complete, so the location of the target area is generally larger than the actual cancerous site. However, the damage of radiotherapy to normal cells is the same. In order to reduce the damage to the body as much as possible, we need to complete the most suitable target area. This paper uses an adaptive weighted multikernel support vector machine, which solves the parameter problem in the traditional multikernel support vector machine. The new AW-SVM can adjust the kernel weights adaptively. We completed our experiment on the abdominal MR dataset, using DSI as an evaluation indicator, and the experimental results showed its excellent classification performance. The minimum value of DSI in all results is 0.9654 (more than 0.7 is acceptable).

中文翻译：

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使用自适应加权多核支持向量机的肾脏自动轮廓方法

在放射治疗中，靶区的位置非常重要。如果目标区域较小，则治疗不彻底，因此目标区域的位置一般大于实际癌变部位。但是放疗对正常细胞的损伤是一样的。为了尽可能减少对身体的伤害，我们需要完成最合适的目标区域。本文采用自适应加权多核支持向量机，解决了传统多核支持向量机中的参数问题。新的 AW-SVM 可以自适应地调整内核权重。我们在腹部MR数据集上完成了我们的实验，使用DSI作为评价指标，实验结果显示了其优异的分类性能。所有结果中 DSI 的最小值为 0.9654（大于 0.