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

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Bibliographic Details
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
Description
ISSN:2329-4302
DOI:10.1117/1.JMI.9.5.052407