Classification of hematologic malignancies from whole-slide bone marrow aspirates using a two-stage deep convolutional neural network pipeline.
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| Title: | Classification of hematologic malignancies from whole-slide bone marrow aspirates using a two-stage deep convolutional neural network pipeline. |
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| Authors: | Chen HR; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan., Liu YC; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan., Yeh CM; Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.; Institute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan., Lin CK; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan., Chien TY; Industry Academia Innovation School, National Yang Ming Chiao Tung University, Hsinchu, Taiwan., Hong YC; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Division of Hematology and Oncology, Department of Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan., Liu CJ; Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.; Institute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Yu KH; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA. |
| Source: | Digital health [Digit Health] 2026 Apr 22; Vol. 12, pp. 20552076261444599. Date of Electronic Publication: 2026 Apr 22 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42052410 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Classification of hematologic malignancies from whole-slide bone marrow aspirates using a two-stage deep convolutional neural network pipeline. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chen+HR%22">Chen HR</searchLink>; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liu+YC%22">Liu YC</searchLink>; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Division of Hematology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yeh+CM%22">Yeh CM</searchLink>; Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.; Institute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+CK%22">Lin CK</searchLink>; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chien+TY%22">Chien TY</searchLink>; Industry Academia Innovation School, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hong+YC%22">Hong YC</searchLink>; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Division of Hematology and Oncology, Department of Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liu+CJ%22">Liu CJ</searchLink>; Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.; Institute of Emergency and Critical Care Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yu+KH%22">Yu KH</searchLink>; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Apr 22; Vol. 12, pp. 20552076261444599. <i>Date of Electronic Publication: </i>2026 Apr 22 (<i>Print Publication: </i>2026). – 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="%22SAGE+Publications+Ltd%22">SAGE Publications Ltd </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101690863 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2055-2076 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220552076%22">20552076 </searchLink><i>NLM ISO Abbreviation: </i>Digit Health <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42052410 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/20552076261444599 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 20552076261444599 Titles: – TitleFull: Classification of hematologic malignancies from whole-slide bone marrow aspirates using a two-stage deep convolutional neural network pipeline. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen HR – PersonEntity: Name: NameFull: Liu YC – PersonEntity: Name: NameFull: Yeh CM – PersonEntity: Name: NameFull: Lin CK – PersonEntity: Name: NameFull: Chien TY – PersonEntity: Name: NameFull: Hong YC – PersonEntity: Name: NameFull: Liu CJ – PersonEntity: Name: NameFull: Yu KH IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 04 Text: 2026 Apr 22 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2055-2076 Numbering: – Type: volume Value: 12 Titles: – TitleFull: Digital health Type: main |
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