Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network.
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| Title: | Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network. |
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| Authors: | Wilder-Smith, Adrian Jonathan1,2 (AUTHOR) adrianjonathan.wilder-smith@usb.ch, Yang, Shan1 (AUTHOR) shan.yang@usb.ch, Weikert, Thomas1,2 (AUTHOR) thomas.weikert@usb.ch, Bremerich, Jens2 (AUTHOR), Haaf, Philip3 (AUTHOR) philip.haaf@usb.ch, Segeroth, Martin1 (AUTHOR) martin.segeroth@usb.ch, Ebert, Lars C.4 (AUTHOR) lars.ebert@irm.uzh.ch, Sauter, Alexander1,2 (AUTHOR) alexander.sauter@usb.ch, Sexauer, Raphael1,2 (AUTHOR) raphael.sexauer@usb.ch |
| Source: | Diagnostics (2075-4418). May2022, Vol. 12 Issue 5, pN.PAG-N.PAG. 15p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 157191766 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157191766 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/diagnostics12051045 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: N.PAG Titles: – TitleFull: Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wilder-Smith, Adrian Jonathan – PersonEntity: Name: NameFull: Yang, Shan – PersonEntity: Name: NameFull: Weikert, Thomas – PersonEntity: Name: NameFull: Bremerich, Jens – PersonEntity: Name: NameFull: Haaf, Philip – PersonEntity: Name: NameFull: Segeroth, Martin – PersonEntity: Name: NameFull: Ebert, Lars C. – PersonEntity: Name: NameFull: Sauter, Alexander – PersonEntity: Name: NameFull: Sexauer, Raphael IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20754418 Numbering: – Type: volume Value: 12 – Type: issue Value: 5 Titles: – TitleFull: Diagnostics (2075-4418) Type: main |
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