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|a Machine Learning in Medical Imaging
|h [electronic resource] :
|b 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings /
|c edited by Yinghuan Shi, Heung-Il Suk, Mingxia Liu.
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| 250 |
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 11046
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|a Springer eBook Collection
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| 520 |
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|a This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 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.
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|a Loaded electronically.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Optical data processing.
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|a Artificial intelligence.
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|a Health informatics.
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|a Data mining.
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|a Liu, Mingxia.
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