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A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.

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Title: A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.
Authors: Saitta, Simone1, Sturla, Francesco1,2, Caimi, Alessandro1, Riva, Alessandra1,2, Palumbo, Maria Chiara1, Nano, Giovanni3, Votta, Emiliano1,2, Corte, Alessandro Della4, Glauber, Mattia5, Chiappino, Dante6, Marrocco-Trischitta, Massimiliano M.3, massimiliano.marroccotrischitta@grupposandonato.it, Redaelli, Alberto1
Source: Journal of Digital Imaging; Apr2022, Vol. 35 Issue 2, p226-239, 14p, 4 Color Photographs, 5 Charts, 3 Graphs
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Imaging%22">Journal of Digital Imaging</searchLink>; Apr2022, Vol. 35 Issue 2, p226-239, 14p, 4 Color Photographs, 5 Charts, 3 Graphs
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        Value: 10.1007/s10278-021-00535-1
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        Text: English
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        PageCount: 14
        StartPage: 226
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      – TitleFull: A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.
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            NameFull: Saitta, Simone
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            NameFull: Sturla, Francesco
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              M: 04
              Text: Apr2022
              Type: published
              Y: 2022
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