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000915850 008__ 191016s2019\\\\sz\a\\\\o\\\\\101\0\eng\d
000915850 019__ $$a1125996508
000915850 020__ $$a9783030326890$$q(electronic book)
000915850 020__ $$a3030326896$$q(electronic book)
000915850 020__ $$z9783030326883
000915850 0247_ $$a10.1007/978-3-030-32689-0$$2doi
000915850 0247_ $$a10.1007/978-3-030-32
000915850 035__ $$aSP(OCoLC)on1123191355
000915850 035__ $$aSP(OCoLC)1123191355$$z(OCoLC)1125996508
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000915850 050_4 $$aRC78.7.D53
000915850 08204 $$a616.07/54$$223
000915850 1112_ $$aUNSURE (Workshop)$$n(1st :$$d2019 :$$cShenzhen Shi, China)
000915850 24510 $$aUncertainty for safe utilization of machine learning in medical imaging and clinical image-based procedures :$$bfirst International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /$$cHayit Greenspan, Ryutaro Tanno, Marius Erdt et al. (eds.).
000915850 2463_ $$aUNSURE 2019
000915850 2463_ $$aCLIP 2019
000915850 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000915850 300__ $$a1 online resource (xvii, 192 pages) :$$billustrations.
000915850 336__ $$atext$$btxt$$2rdacontent
000915850 337__ $$acomputer$$bc$$2rdamedia
000915850 338__ $$aonline resource$$bcr$$2rdacarrier
000915850 4901_ $$aLecture notes in computer science ;$$v11840
000915850 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000915850 500__ $$aInternational conference proceedings.
000915850 500__ $$aIncludes author index.
000915850 506__ $$aAccess limited to authorized users.
000915850 520__ $$aThis book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
000915850 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 16, 2019).
000915850 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
000915850 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.
000915850 650_0 $$aMachine learning$$vCongresses.
000915850 7001_ $$aGreenspan, Hayit,$$eeditor.
000915850 7001_ $$aTanno, Ryutaro,$$eeditor.
000915850 7001_ $$aErdt, Marius,$$eeditor.
000915850 7112_ $$aCLIP (Workshop)$$n(8th :$$d2019 :$$cShenzhen Shi, China),$$jjointly held conference.
000915850 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(22nd :$$d2019 :$$cShenzhen Shi, China),$$jjointly held conference.
000915850 830_0 $$aLecture notes in computer science ;$$v11840.
000915850 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000915850 852__ $$bebk
000915850 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-32689-0$$zOnline Access$$91397441.1
000915850 909CO $$ooai:library.usi.edu:915850$$pGLOBAL_SET
000915850 980__ $$aEBOOK
000915850 980__ $$aBIB
000915850 982__ $$aEbook
000915850 983__ $$aOnline
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