医学图像分割在医学影像分析中正在发挥着日益重要的作用，它是医学图像处理和分析领域的基础性经典难题。
Medical image segmentation has been playing an increasingly important role in medical image analysis; it is a hard-tough problem in medical image processing and analysis.
本文针对人体器官重建这一研究课题，对基于医学影像的器官轮廓检测、分割和模型重建等技术进行了深入的研究。
Aiming at the task of the organ modeling, this thesis focuses on the techniques of organ contour-detecting, segmentation and modeling based on medical image.
合理地分割影像图像是医学影像图像处理的重要基础步骤之一。
One of the most important basic processes of dealing with medical image is to segment it reasonably.
本文分别对改进的医学影像图像分割结果进行了对比测试。
Besides, the contrast testing is made separately for the result of improved medical-image segmentation in this thesis.
本文分别对改进的医学影像图像分割结果进行了对比测试。
Besides, the contrast testing is made separately for the result of improved medical-image segmentation in this thesis.
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