Machine Learning in Medical Imaging
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262
By:"Guorong Wu","Daoqiang Zhang","Dinggang Shen","Pingkun Yan","Kenji Suzuki","Fei Wang"
"Computers"
Published on 2013-09-18 by Springer
... Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang. An Improved \u003cbr\u003e\nOptimization Method for the Relevance Voxel Machine Melanie Ganz1,2, Mert R. \u003cbr\u003e\nSabuncu1, and Koen Van Leemput1,3,4 1 Martinos Center for \u003cb\u003eBiomedical\u003c/b\u003e \u003cbr\u003e\n\u003cb\u003eImaging\u003c/b\u003e, MGH, ...
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This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 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.
This Book was ranked 40 by Google Books for keyword Biomedical Imaging.
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