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Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation.

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Title: Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation.
Authors: Noothout JMH; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands., Lessmann N; Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands., van Eede MC; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands., van Harten LD; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands., Sogancioglu E; Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands., Heslinga FG; Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, The Netherlands., Veta M; Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, The Netherlands., van Ginneken B; Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands., Išgum I; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands.; Amsterdam University Medical Center, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands.; Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, The Netherlands.; University of Amsterdam, Informatics Institute, Amsterdam, The Netherlands.
Source: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2022 Sep; Vol. 9 (5), pp. 052407. Date of Electronic Publication: 2022 May 28.
Publication Type: Journal Article
Journal Info: Publisher: Society of Photo-Optical Instrumentation Engineers Country of Publication: United States NLM ID: 101643461 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2329-4302 (Print) Linking ISSN: 23294302 NLM ISO Abbreviation: J Med Imaging (Bellingham) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Noothout+JMH%22">Noothout JMH</searchLink>; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Lessmann+N%22">Lessmann N</searchLink>; Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Eede+MC%22">van Eede MC</searchLink>; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Harten+LD%22">van Harten LD</searchLink>; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Sogancioglu+E%22">Sogancioglu E</searchLink>; Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Heslinga+FG%22">Heslinga FG</searchLink>; Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Veta+M%22">Veta M</searchLink>; Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, The Netherlands.<br /><searchLink fieldCode="AU" term="%22van+Ginneken+B%22">van Ginneken B</searchLink>; Radboud University Medical Center, Department of Medical Imaging, Nijmegen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Išgum+I%22">Išgum I</searchLink>; Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands.; Amsterdam University Medical Center, University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands.; Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Heart Failure & Arrhythmias, Amsterdam, The Netherlands.; University of Amsterdam, Informatics Institute, Amsterdam, The Netherlands.
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  Data: <searchLink fieldCode="JN" term="%22101643461%22">Journal of medical imaging (Bellingham, Wash.)</searchLink> [J Med Imaging (Bellingham)] 2022 Sep; Vol. 9 (5), pp. 052407. <i>Date of Electronic Publication: </i>2022 May 28.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Society+of+Photo-Optical+Instrumentation+Engineers%22">Society of Photo-Optical Instrumentation Engineers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101643461 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2329-4302 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223294302%22">23294302 </searchLink><i>NLM ISO Abbreviation: </i>J Med Imaging (Bellingham) <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35692896
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        Value: 10.1117/1.JMI.9.5.052407
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        Text: English
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              Text: 2022 Sep
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