Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning.
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| Title: | Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning. |
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| Authors: | Qu H; Department of Computer Science, Rutgers University, Piscataway, NJ, USA., Zhou M; Sensebrain Research, Princeton, NJ, USA., Yan Z; Sensebrain Research, Princeton, NJ, USA., Wang H; School of Medicine, Yale University, New Haven, CT, USA., Rustgi VK; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA., Zhang S; SenseTime Research and Shanghai AI Laboratory, Shanghai, China. zhangshaoting@sensetime.com., Gevaert O; Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA, USA. ogevaert@stanford.edu., Metaxas DN; Department of Computer Science, Rutgers University, Piscataway, NJ, USA. dnm@cs.rutgers.edu. |
| Source: | NPJ precision oncology [NPJ Precis Oncol] 2021 Sep 23; Vol. 5 (1), pp. 87. Date of Electronic Publication: 2021 Sep 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X (Print) Linking ISSN: 2397768X NLM ISO Abbreviation: NPJ Precis Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34556802 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Qu+H%22">Qu H</searchLink>; Department of Computer Science, Rutgers University, Piscataway, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Zhou+M%22">Zhou M</searchLink>; Sensebrain Research, Princeton, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Yan+Z%22">Yan Z</searchLink>; Sensebrain Research, Princeton, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; School of Medicine, Yale University, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Rustgi+VK%22">Rustgi VK</searchLink>; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+S%22">Zhang S</searchLink>; SenseTime Research and Shanghai AI Laboratory, Shanghai, China. zhangshaoting@sensetime.com.<br /><searchLink fieldCode="AU" term="%22Gevaert+O%22">Gevaert O</searchLink>; Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA, USA. ogevaert@stanford.edu.<br /><searchLink fieldCode="AU" term="%22Metaxas+DN%22">Metaxas DN</searchLink>; Department of Computer Science, Rutgers University, Piscataway, NJ, USA. dnm@cs.rutgers.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101708166%22">NPJ precision oncology</searchLink> [NPJ Precis Oncol] 2021 Sep 23; Vol. 5 (1), pp. 87. <i>Date of Electronic Publication: </i>2021 Sep 23. – 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+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101708166 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2397-768X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222397768X%22">2397768X </searchLink><i>NLM ISO Abbreviation: </i>NPJ Precis Oncol <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34556802 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41698-021-00225-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 87 Titles: – TitleFull: Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qu H – PersonEntity: Name: NameFull: Zhou M – PersonEntity: Name: NameFull: Yan Z – PersonEntity: Name: NameFull: Wang H – PersonEntity: Name: NameFull: Rustgi VK – PersonEntity: Name: NameFull: Zhang S – PersonEntity: Name: NameFull: Gevaert O – PersonEntity: Name: NameFull: Metaxas DN IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 09 Text: 2021 Sep 23 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 2397-768X Numbering: – Type: volume Value: 5 – Type: issue Value: 1 Titles: – TitleFull: NPJ precision oncology Type: main |
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