Machine Learning in Medical Imaging

Machine Learning in Medical Imaging

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This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012 , Nice, France, October 1, 2012, Revised Selected Papers Fei Wang, ... Existing approaches depend on manual inspection via visualization or semi-automated processing [5, 1]. ... Image defects can occur during sample preparation, such as debris contamination, and also during image acquisition, such as out-of-focus [5, 1].

Title:Machine Learning in Medical Imaging
Author:Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki
Publisher:Springer - 2012-11-13


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