Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.
Saved in:
| Title: | Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario. |
|---|---|
| Authors: | Peters AA; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland. alan.peters@insel.ch., Huber AT; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland., Obmann VC; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland., Heverhagen JT; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland.; Department of BioMedical Research, Experimental Radiology, University of Bern, 3008, Bern, Switzerland.; Department of Radiology, The Ohio State University, Columbus, OH, USA., Christe A; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland., Ebner L; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland. |
| Source: | European radiology [Eur Radiol] 2022 Jun; Vol. 32 (6), pp. 4324-4332. Date of Electronic Publication: 2022 Jan 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35059804 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Peters+AA%22">Peters AA</searchLink>; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland. alan.peters@insel.ch.<br /><searchLink fieldCode="AU" term="%22Huber+AT%22">Huber AT</searchLink>; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland.<br /><searchLink fieldCode="AU" term="%22Obmann+VC%22">Obmann VC</searchLink>; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland.<br /><searchLink fieldCode="AU" term="%22Heverhagen+JT%22">Heverhagen JT</searchLink>; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland.; Department of BioMedical Research, Experimental Radiology, University of Bern, 3008, Bern, Switzerland.; Department of Radiology, The Ohio State University, Columbus, OH, USA.<br /><searchLink fieldCode="AU" term="%22Christe+A%22">Christe A</searchLink>; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland.<br /><searchLink fieldCode="AU" term="%22Ebner+L%22">Ebner L</searchLink>; Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Bern University Hospital, University of Bern, Inselspital Bern, 3010, Switzerland. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2022 Jun; Vol. 32 (6), pp. 4324-4332. <i>Date of Electronic Publication: </i>2022 Jan 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35059804 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-021-08511-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 4324 Titles: – TitleFull: Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Peters AA – PersonEntity: Name: NameFull: Huber AT – PersonEntity: Name: NameFull: Obmann VC – PersonEntity: Name: NameFull: Heverhagen JT – PersonEntity: Name: NameFull: Christe A – PersonEntity: Name: NameFull: Ebner L IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2022 Jun Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1432-1084 Numbering: – Type: volume Value: 32 – Type: issue Value: 6 Titles: – TitleFull: European radiology Type: main |
| ResultId | 1 |
