首页> 外文期刊>Pattern Analysis and Applications >Computer vision and Pattern recognition Techniques for 2-D and 3-D MR Cerebral cortical Segmentation (Part Ⅰ): A State-of-the-Art Review
【24h】

Computer vision and Pattern recognition Techniques for 2-D and 3-D MR Cerebral cortical Segmentation (Part Ⅰ): A State-of-the-Art Review

机译:2-D和3-D MR大脑皮层分割的计算机视觉和模式识别技术(第一部分):最新进展

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Extensive growth in functional brain imaging, perfusion-weighted imaging, diffusion-weighted imaging, brain mapping and brain scanning techniques has led tremendously to the importance of the cerebral cortical segmentation, both in 2-D and 3-D, from volumetric brain magnetic resonance imaging data sets. Besides that, recent growth in deformable brain segmentation techniques in 2-D and 3-D has brought the engineering community, such as the areas of computer vision, image processing, pattern recognition and graphics, closer to the medical community, such as to neuro-surgeons, psychiatrists, oncologists, neuro-radiologists and internists.
机译:功能性脑成像,灌注加权成像,弥散加权成像,脑成像和脑扫描技术的广泛发展极大地促进了体积脑磁共振在2-D和3-D中大脑皮层分割的重要性成像数据集。除此之外,最近在2-D和3-D中可变形脑分割技术的发展使工程界(例如计算机视觉,图像处理,模式识别和图形领域)更接近医学界(例如神经) -外科医生,精神科医生,肿瘤科医生,神经放射科医生和内科医生。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号