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Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013)

机译:2013年医疗计算机视觉研讨会(MCV 2013)概述

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The 2013 workshop in medical computer vision (MCV) took place in Nagoya, Japan in connection with MICCAI (Medical Image Computing for Computer Assisted Intervention). It is the third MICCAI MCV workshop after 2011 and 2012 also related to a similar workshop held at CVPR (Computer Vision and Pattern Recognition) in 2012. The workshop aims at exploring the use of modern computer vision technology in tasks such as automatic segmentation and registration, localisation of anatomical features and detection of anomalies. It emphasises questions of harvesting, organising and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. We are especially interested in modern, scalable and efficient algorithms which generalise well to previously unseen images. The strong participation of over 70 persons in the workshop shows the importance and timeliness of medical computer vision as a research field. 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:2013年医学计算机视觉(MCV)研讨会在日本名古屋举行,与MICCAI(用于计算机辅助干预的医学图像计算)相关。这是继2011年和2012年之后的第三次MICCAI MCV研讨会,也与2012年在CVPR(计算机视觉和模式识别)上举办的类似研讨会有关。该研讨会旨在探讨在自动分段和注册等任务中使用现代计算机视觉技术。 ,解剖特征的定位和异常的检测。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。我们对现代,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。 70多人参加了研讨会,这表明医学计算机视觉作为研究领域的重要性和及时性。这篇概述文章将研讨会上的论文描述为口头陈述或简短陈述和海报。它还描述了有关在医学成像中使用大数据的研讨会的邀请演讲和VISCERAL会议的结果。

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