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020 _a9783319471570
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024 7 _a10.1007/978-3-319-47157-0
_2doi
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072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
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072 7 _aUYQV
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082 0 4 _a006.37
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245 1 0 _aMachine Learning in Medical Imaging
_h[electronic resource] :
_b7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /
_cedited by Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIV, 324 p. 127 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v10019
520 _aThis book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
650 0 _aComputer vision.
_9172158
650 0 _aPattern recognition systems.
_93953
650 0 _aMedical informatics.
_94729
650 0 _aData mining.
_93907
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputer Vision.
_9172159
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aData Mining and Knowledge Discovery.
_9172160
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aWang, Li.
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700 1 _aAdeli, Ehsan.
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700 1 _aWang, Qian.
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700 1 _aShi, Yinghuan.
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_9172164
700 1 _aSuk, Heung-Il.
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710 2 _aSpringerLink (Online service)
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
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856 4 0 _uhttps://doi.org/10.1007/978-3-319-47157-0
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