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Titlebook: Medical Computer Vision: Algorithms for Big Data; International Worksh Bjoern Menze,Georg Langs,Dimitris Metaxas Conference proceedings 201

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书目名称Medical Computer Vision: Algorithms for Big Data
副标题International Worksh
编辑Bjoern Menze,Georg Langs,Dimitris Metaxas
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Medical Computer Vision: Algorithms for Big Data; International Worksh Bjoern Menze,Georg Langs,Dimitris Metaxas Conference proceedings 201
描述.This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015...The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions..
出版日期Conference proceedings 2016
关键词brain connectivity; computer vision; deep learning; machine learning; pattern recognition; computer tomog
版次1
doihttps://doi.org/10.1007/978-3-319-42016-5
isbn_softcover978-3-319-42015-8
isbn_ebook978-3-319-42016-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
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Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderlyimaging biomarkers of cognitive decline are crucial to identify, but few studies have investigated how sets of biomarkers cluster in terms of the information they provide. Here, we evaluated more than 700 frequently studied diffusion and anatomical measures in 247 elderly participants from the Alzhe
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Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosists prodromal stage, i.e., mild cognitive impairment (MCI). However, most existing multi-atlas based methods simply average or concatenate features generated from multiple atlases, which ignores the important underlying structure information of multi-atlas data. In this paper, we propose a novel rela
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