Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.
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| Title: | Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens. |
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| Authors: | Liu X; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.; Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Li F; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China., Xu J; Department of Pathology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, People's Republic of China., Ma J; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China., Duan X; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China., Mao R; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Chen M; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Chen Z; Department of Gastrointestinal and Pancreatic Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Huang Y; Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Jiang J; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China., Huang B; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China. huangb@szu.edu.cn., Ye Z; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China. yeziyin@mail.sysu.edu.cn. |
| Source: | Virchows Archiv : an international journal of pathology [Virchows Arch] 2024 Jun; Vol. 484 (6), pp. 965-976. Date of Electronic Publication: 2024 Feb 08. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9423843 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2307 (Electronic) Linking ISSN: 09456317 NLM ISO Abbreviation: Virchows Arch Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38332051 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Liu+X%22">Liu X</searchLink>; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.; Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Li+F%22">Li F</searchLink>; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Department of Pathology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Ma+J%22">Ma J</searchLink>; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Duan+X%22">Duan X</searchLink>; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Mao+R%22">Mao R</searchLink>; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Chen+M%22">Chen M</searchLink>; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; Department of Gastrointestinal and Pancreatic Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Jiang+J%22">Jiang J</searchLink>; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Huang+B%22">Huang B</searchLink>; Medical AI Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen, 518000, Guangdong, People's Republic of China. huangb@szu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Ye+Z%22">Ye Z</searchLink>; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Road 2, Guangzhou, 510080, Guangdong, People's Republic of China. yeziyin@mail.sysu.edu.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229423843%22">Virchows Archiv : an international journal of pathology</searchLink> [Virchows Arch] 2024 Jun; Vol. 484 (6), pp. 965-976. <i>Date of Electronic Publication: </i>2024 Feb 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – 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>9423843 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-2307 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209456317%22">09456317 </searchLink><i>NLM ISO Abbreviation: </i>Virchows Arch <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38332051 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00428-024-03740-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 965 Titles: – TitleFull: Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu X – PersonEntity: Name: NameFull: Li F – PersonEntity: Name: NameFull: Xu J – PersonEntity: Name: NameFull: Ma J – PersonEntity: Name: NameFull: Duan X – PersonEntity: Name: NameFull: Mao R – PersonEntity: Name: NameFull: Chen M – PersonEntity: Name: NameFull: Chen Z – PersonEntity: Name: NameFull: Huang Y – PersonEntity: Name: NameFull: Jiang J – PersonEntity: Name: NameFull: Huang B – PersonEntity: Name: NameFull: Ye Z IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2024 Jun Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1432-2307 Numbering: – Type: volume Value: 484 – Type: issue Value: 6 Titles: – TitleFull: Virchows Archiv : an international journal of pathology Type: main |
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