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Knowledge-based matching for 3D radiotherapy planning

机译:基于知识的3D放射治疗计划匹配

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Develops a system that performs segmentation and recognition ofmajor organs in CT images of human abdomen for 3D organ reconstructionused in radiotherapy. A knowledge-based system has been developed thatfeatures the use of constraint-based dynamic thresholding,negative-shape constraints to rapidly rule out infeasible segmentations,and progressive landmarking that takes advantage of the differentdegrees of certainty of unsuccessful identification of each organ. Theresults of the experiments indicate that the knowledge-based approach ispromising
机译:开发一个系统来执行细分和识别 腹部CT图像中的主要器官用于3D器官重建 用于放射治疗。已经开发了一个基于知识的系统 具有基于约束的动态阈值的使用, 负形约束,可以快速排除不可行的细分, 和渐进式地标,利用了不同的优势 每个器官鉴定失败的确定性程度。这 实验结果表明,基于知识的方法是 有希望

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