Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.

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Title: Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
Authors: Wang Y; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA., Zhou C; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA., Chan HP; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA., Hadjiiski LM; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA., Chughtai A; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA., Kazerooni EA; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA.
Source: Medical physics [Med Phys] 2022 Nov; Vol. 49 (11), pp. 7287-7302. Date of Electronic Publication: 2022 Aug 17.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
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  Data: <searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Zhou+C%22">Zhou C</searchLink>; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Chan+HP%22">Chan HP</searchLink>; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Hadjiiski+LM%22">Hadjiiski LM</searchLink>; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Chughtai+A%22">Chughtai A</searchLink>; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA.<br /><searchLink fieldCode="AU" term="%22Kazerooni+EA%22">Kazerooni EA</searchLink>; Department of Radiology, The University of Michigan, Ann Arbor, Michigan, USA.
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  Data: <searchLink fieldCode="JN" term="%220425746%22">Medical physics</searchLink> [Med Phys] 2022 Nov; Vol. 49 (11), pp. 7287-7302. <i>Date of Electronic Publication: </i>2022 Aug 17.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+and+Sons%2C+Inc%22">John Wiley and Sons, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0425746 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2473-4209 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200942405%22">00942405 </searchLink><i>NLM ISO Abbreviation: </i>Med Phys <i>Subsets: </i>MEDLINE
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        Value: 10.1002/mp.15810
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        Text: English
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      – TitleFull: Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
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              Text: 2022 Nov
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