Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?
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| Title: | Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way? |
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| Authors: | Baselli G; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Golgi 39, 20133, Milan, Italy., Codari M; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Golgi 39, 20133, Milan, Italy. marina.codari@polimi.it.; Present Address: Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr., Stanford, CA, 94305, USA. marina.codari@polimi.it., Sardanelli F; Unit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, 20097, Italy.; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Morandi 30, San Donato Milanese, 20097, Italy. |
| Source: | European radiology experimental [Eur Radiol Exp] 2020 May 05; Vol. 4 (1), pp. 30. Date of Electronic Publication: 2020 May 05. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 32372200 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Baselli+G%22">Baselli G</searchLink>; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Golgi 39, 20133, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Codari+M%22">Codari M</searchLink>; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Via Golgi 39, 20133, Milan, Italy. marina.codari@polimi.it.; Present Address: Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr., Stanford, CA, 94305, USA. marina.codari@polimi.it.<br /><searchLink fieldCode="AU" term="%22Sardanelli+F%22">Sardanelli F</searchLink>; Unit of Radiology, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, 20097, Italy.; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Morandi 30, San Donato Milanese, 20097, Italy. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101721752%22">European radiology experimental</searchLink> [Eur Radiol Exp] 2020 May 05; Vol. 4 (1), pp. 30. <i>Date of Electronic Publication: </i>2020 May 05. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SpringerOpen%22">SpringerOpen </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101721752 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2509-9280 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225099280%22">25099280 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol Exp <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=32372200 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s41747-020-00159-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 30 Titles: – TitleFull: Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Baselli G – PersonEntity: Name: NameFull: Codari M – PersonEntity: Name: NameFull: Sardanelli F IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 05 Text: 2020 May 05 Type: published Y: 2020 Identifiers: – Type: issn-electronic Value: 2509-9280 Numbering: – Type: volume Value: 4 – Type: issue Value: 1 Titles: – TitleFull: European radiology experimental Type: main |
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