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Analysis of intensity normalization for optimal segmentation performance of a fully convolutional neural network.

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Title: Analysis of intensity normalization for optimal segmentation performance of a fully convolutional neural network.
Authors: Jacobsen N; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany., Deistung A; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany; Department of Neurology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany., Timmann D; Department of Neurology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany., Goericke SL; Department of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, Essen, Germany., Reichenbach JR; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany; Michael Stifel Center for Data-Driven and Simulation Science, Friedrich Schiller University Jena, Jena, Germany., Güllmar D; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany. Electronic address: daniel.guellmar@med.uni-jena.de.
Source: Zeitschrift fur medizinische Physik [Z Med Phys] 2019 May; Vol. 29 (2), pp. 128-138. Date of Electronic Publication: 2018 Dec 20.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier GmbH Country of Publication: Germany NLM ID: 100886455 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-4436 (Electronic) Linking ISSN: 09393889 NLM ISO Abbreviation: Z Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Jacobsen+N%22">Jacobsen N</searchLink>; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Deistung+A%22">Deistung A</searchLink>; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany; Department of Neurology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Timmann+D%22">Timmann D</searchLink>; Department of Neurology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Goericke+SL%22">Goericke SL</searchLink>; Department of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, Essen, Germany.<br /><searchLink fieldCode="AU" term="%22Reichenbach+JR%22">Reichenbach JR</searchLink>; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany; Michael Stifel Center for Data-Driven and Simulation Science, Friedrich Schiller University Jena, Jena, Germany.<br /><searchLink fieldCode="AU" term="%22Güllmar+D%22">Güllmar D</searchLink>; Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Jena, Germany. Electronic address: daniel.guellmar@med.uni-jena.de.
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        Value: 10.1016/j.zemedi.2018.11.004
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