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001449680 001__ 1449680
001449680 003__ OCoLC
001449680 005__ 20230310004413.0
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001449680 019__ $$a1345275098
001449680 020__ $$a9783031167492$$q(electronic bk.)
001449680 020__ $$a303116749X$$q(electronic bk.)
001449680 020__ $$z9783031167485$$q(print)
001449680 020__ $$z3031167481
001449680 0247_ $$a10.1007/978-3-031-16749-2$$2doi
001449680 035__ $$aSP(OCoLC)1345285644
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001449680 050_4 $$aRC78.7.D53$$bU57 2022eb
001449680 08204 $$a616.07/54$$223/eng/20220921
001449680 1112_ $$aUNSURE (Workshop)$$n(4th :$$d2022 :$$cSingapore ; Online)
001449680 24510 $$aUncertainty for safe utilization of machine learning in medical imaging :$$b4th International Workshop, UNSURE 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /$$cCarole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III (eds.).
001449680 2463_ $$aUNSURE 2022
001449680 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001449680 300__ $$a1 online resource (x, 147 pages) :$$billustrations (some color).
001449680 336__ $$atext$$btxt$$2rdacontent
001449680 337__ $$acomputer$$bc$$2rdamedia
001449680 338__ $$aonline resource$$bcr$$2rdacarrier
001449680 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13563
001449680 500__ $$aIncludes author index.
001449680 5050_ $$aUncertainty Modelling -- MOrphologically-aware Jaccard-based ITerative Optimization (MOJITO) for Consensus Segmentation -- Quantification of Predictive Uncertainty via Inference-Time Sampling -- Uncertainty categories in medical image segmentation: a study of source-related diversity. -- On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation -- What Do Untargeted Adversarial Examples Reveal In Medical Image Segmentation?. -- Uncertainty calibration -- Improved post-hoc probability calibration for out-of-domain MRI segmentation. -- Improving error detection in deep learning-based radiotherapy autocontouring using Bayesian uncertainty -- A Plug-and-Play Method to Compute Uncertainty -- Calibration of Deep Medical Image Classifiers: An Empirical Comparison using Dermatology and Histopathology Datasets -- Annotation uncertainty and out of distribution management -- nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods -- Generalized Probabilistic U-Net for medical image segmentation -- Joint paraspinal muscle segmentation and inter-rater labeling variability prediction with multi-task TransUNet -- Information Gain Sampling for Active Learning in Medical Image Classification.
001449680 506__ $$aAccess limited to authorized users.
001449680 520__ $$aThis book constitutes the refereed proceedings of the Fourth Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2022, held in conjunction with MICCAI 2022. The conference was hybrid event held from Singapore. For this workshop, 13 papers from 22 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.
001449680 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 21, 2022).
001449680 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001449680 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.
001449680 650_0 $$aMachine learning$$vCongresses.
001449680 655_0 $$aElectronic books.
001449680 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449680 7001_ $$aSudre, Carole H.,$$eeditor.$$1https://orcid.org/0000-0001-5753-428X
001449680 7001_ $$aBaumgartner, Christian$$c(Professor of health care engineering),$$eeditor.$$1https://orcid.org/0000-0002-3629-4384
001449680 7001_ $$aDalca, Adrian V.$$q(Adrian Vasile),$$eeditor.$$1https://orcid.org/0000-0002-8422-0136
001449680 7001_ $$aQin, Chen,$$eeditor.$$0(orcid)0000-0003-3417-3092$$1https://orcid.org/0000-0003-3417-3092
001449680 7001_ $$aTanno, Ryutaro,$$eeditor.$$1https://orcid.org/0000-0002-8107-6730
001449680 7001_ $$aLeemput, Koen van,$$eeditor.$$0(orcid)0000-0001-6466-5309$$1https://orcid.org/0000-0001-6466-5309
001449680 7001_ $$aWells, William M.,$$cIII,$$eeditor.
001449680 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(25th :$$d2022 :$$cSingapore ; Online)
001449680 77608 $$iPrint version: $$z3031167481$$z9783031167485$$w(OCoLC)1340645163
001449680 830_0 $$aLecture notes in computer science ;$$v13563.$$x1611-3349
001449680 852__ $$bebk
001449680 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16749-2$$zOnline Access$$91397441.1
001449680 909CO $$ooai:library.usi.edu:1449680$$pGLOBAL_SET
001449680 980__ $$aBIB
001449680 980__ $$aEBOOK
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