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|a Machine Learning in Medical Imaging
|h [electronic resource] :
|b 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings /
|c edited by Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi.
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| 250 |
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|a 1st ed. 2015.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XII, 341 p. 128 illus.
|b online resource.
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 9352
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| 490 |
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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 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed 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 Pattern recognition.
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|a Health informatics.
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|a Data mining.
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|a Artificial intelligence.
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| 690 |
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|a Electronic resources (E-books)
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|a Zhou, Luping.
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|a Wang, Li.
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|a Wang, Qian.
|e editor.
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|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Shi, Yinghuan.
|e editor.
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
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| 830 |
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|a Springer eBook Collection.
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| 856 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-319-24888-2
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