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020 _a9783319248882
_9978-3-319-24888-2
024 7 _a10.1007/978-3-319-24888-2
_2doi
050 4 _aTA1637-1638
050 4 _aTA1634
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aCOM016000
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082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
245 1 0 _aMachine Learning in Medical Imaging
_h[electronic resource] :
_b6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings /
_cedited by Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 341 p. 128 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9352
520 _aThis 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. .
650 0 _aComputer science.
650 0 _aHealth informatics.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aImage processing.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aPattern Recognition.
650 2 4 _aHealth Informatics.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aZhou, Luping.
_eeditor.
700 1 _aWang, Li.
_eeditor.
700 1 _aWang, Qian.
_eeditor.
700 1 _aShi, Yinghuan.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319248875
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9352
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-24888-2
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c55232
_d55232