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Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015)

机译:2015年医用计算机视觉研讨会-大数据算法概述(MCV 2015)

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The 2015 workshop on medical computer vision (MCV): algorithms for big data took place in Munich, Germany, in connection with MICCAI (Medical Image Computing for Computer Assisted Intervention). It is the fifth MICCAI MCV workshop after those held in 2010, 2012, 2013 and 2014 with another edition held at CVPR 2012 previously. This workshop aims at exploring the use of modern computer vision technology in tasks such as automatic segmentation and registration, localisation of anatomical features and extraction of meaningful visual features. It emphasises questions of harvesting, organising and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The workshop is especially interested in modern, scalable and efficient algorithms that generalise well to previously unseen images. The strong participation in the workshop of over 80 persons shows the importance of and interest in Medical Computer Vision. This overview article describes the papers presented at the workshop as either oral presentations or posters. It also describes the three invited talks that received much attention and a very positive feedback and the general discussions that took place during workshop.
机译:2015年的医学计算机视觉(MCV):大数据算法研讨会在德国慕尼黑与MICCAI(用于计算机辅助干预的医学图像计算)相关。这是继2010年,2012年,2013年和2014年举办的MICCAI MCV研讨会之后的第五次研讨会,之前的会议是在CVPR 2012举行的。该研讨会的目的是探索在自动分割和配准,解剖特征的定位以及有意义的视觉特征的提取等任务中使用现代计算机视觉技术。它着重于从大规模医学影像数据集收集,组织和学习以及对医学影像的通用自动理解的问题。研讨会对现代,可扩展和高效的算法特别感兴趣,这些算法可以很好地推广到以前看不见的图像。 80多人参加了这次研讨会,这表明对医学计算机视觉的重要性和兴趣。这篇概述文章描述了在研讨会上以口头陈述或海报形式发表的论文。它还描述了三场受邀的演讲,这些演讲引起了极大的关注,获得了非常积极的反馈,并在研讨会期间进行了一般性讨论。

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