Machine Learning in Medical Imaging

Machine Learning in Medical Imaging

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This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.Searching for Structures of Interest in an Ultrasound Video Sequence Mohammad Ali Maraci1, Raffaele Napolitano2, ... However there is a shortage of highly trained sonographers worldwide, which is limiting the wider adoption of this cost-effective ... as a kernel dynamic texture which can form the basis of a metric for detecting structures of interest in new unseen videos. ... To address the former, 3D ultrasound helps to some extent in that it simplifies acquisition, but shifts the burden ofanbsp;...

Title:Machine Learning in Medical Imaging
Author:Guorong Wu, Daoqiang Zhang, Luping Zhou
Publisher:Springer - 2014-09-05


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