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Overview of the 2014 Workshop on Medical Computer Vision-Algorithms for Big Data (MCV 2014)

机译:2014年医疗计算机视觉大数据算法研讨会研讨会(MCV 2014)

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The 2014 workshop on medical computer vision (MCV): algorithms for big data took place in Cambridge, MA, USA in connection with MICCAI (Medical Image Computing for Computer Assisted Intervention). It is the fourth MICCAI MCV workshop after those held in 2010, 2012 and 2013 with another edition held at CVPR 2012. 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 which 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 in the workshop as either oral presentations or short presentations and posters. It also describes the invited talks and the results of the VISCERAL session in the workshop on the use of big data in medical imaging.
机译:2014年医疗计算机视觉(MCV):大数据算法研讨会在美国马萨诸塞州剑桥市举行,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年和2013年举办的MICCAI MCV研讨会之后的第四次研讨会,以及在CVPR 2012上举行的另一次研讨会。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提取有意义的视觉特征。它着重于从大规模医学影像数据集获取,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多人的强烈参与表明了对医学计算机视觉的重要性和兴趣。这篇概述文章将研讨会上的论文描述为口头演讲或简短演讲和海报。它还描述了有关在医学成像中使用大数据的研讨会上的受邀演讲和VISCERAL会议的结果。

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