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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| ISSN: | 2055-2076 |
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| DOI: | 10.1177/20552076261444599 |
