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医学图像分割方法及挑战 被引量:1

Medical Image Segmentation Methods and Challenges
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摘要 当今信息化数据的不断更新变化以及图形图像处理水平的不断提高,使得医学图像分割技术日渐成熟。充分研究医学图像分割技术,不仅可以促进基础医学的创新发展,同时,可以成为医生临床诊断的重要辅助手段之一。笔者主要针对医学图像研究中几种常见的分割方法进行了归纳总结,并对当前面临的挑战进行了简要说明。 With the continuous update of information data and the continuous improvement of the level of graphics and image processing,medical image segmentation technology is becoming more and more mature.Making full use of medical image segmentation technology can not only promote the innovation and development of basic medicine,but also become an important auxiliary means for doctors to diagnose clinically.The author mainly summarizes several common segmentation methods in medical image research,and gives a brief description of the current challenges.
作者 梁亦珉 Liang Yimin(Wuxi No.4 People's Hospital,Wuxi Jiangsu 214062,China)
出处 《信息与电脑》 2018年第3期48-49,共2页 Information & Computer
关键词 医学图像 分割技术 临床研究 计算机视觉 medical image segmentation technology clinical research computer vision
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