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000799734 020__ $$a9783319661858$$q(electronic book)
000799734 020__ $$a331966185X$$q(electronic book)
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000799734 0247_ $$a10.1007/978-3-319-66185-8$$2doi
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000799734 1112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(20th :$$d2017 :$$cQuébec, Québec)
000799734 24510 $$aMedical Image Computing and Computer-Assisted Intervention -- MICCAI 2017 :$$b20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings.$$nPart II /$$cMaxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne (eds.).
000799734 2463_ $$aMICCAI 2017
000799734 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000799734 300__ $$a1 online resource (xxviii, 785 pages) :$$billustrations.
000799734 336__ $$atext$$btxt$$2rdacontent
000799734 337__ $$acomputer$$bc$$2rdamedia
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000799734 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v10434
000799734 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000799734 500__ $$aInternational conference proceedings.
000799734 500__ $$aIncludes author index.
000799734 506__ $$aAccess limited to authorized users.
000799734 520__ $$aThe three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in Quebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
000799734 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 8, 2017).
000799734 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
000799734 650_0 $$aComputer-assisted surgery$$vCongresses.
000799734 7001_ $$aDescoteaux, Maxime,$$eeditor.
000799734 7001_ $$aMaier-Hein, Lena,$$eeditor.
000799734 7001_ $$aFranz, Alfred,$$eeditor.
000799734 7001_ $$aJannin, Pierre,$$d1963-$$eeditor.
000799734 7001_ $$aCollins, D. Louis,$$eeditor.
000799734 7001_ $$aDuchesne, Simon,$$eeditor.
000799734 77608 $$iPrint version:$$z9783319661841
000799734 830_0 $$aLecture notes in computer science ;$$v10434.
000799734 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000799734 85280 $$bebk$$hSpringerLink
000799734 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-66185-8$$zOnline Access$$91397441.1
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