A deep-learning algorithm (AIFORIA) for classification of hematopoietic cells in bone marrow aspirate smears based on nine cell classes-a feasible approach for routine screening?
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| Title: | A deep-learning algorithm (AIFORIA) for classification of hematopoietic cells in bone marrow aspirate smears based on nine cell classes-a feasible approach for routine screening? |
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| Authors: | Saft L; Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden. leonie.saft@regionstockholm.se.; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. leonie.saft@regionstockholm.se., Vaara E; Aiforia Technologies Plc, Helsinki, Finland., Ljung E; Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden., Kwiecinska A; Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden., Kumar D; Aiforia Technologies Plc, Helsinki, Finland., Timar B; 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary. |
| Source: | Journal of hematopathology [J Hematop] 2025 Mar 29; Vol. 18 (1), pp. 12. Date of Electronic Publication: 2025 Mar 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 101491976 Publication Model: Electronic Cited Medium: Internet ISSN: 1865-5785 (Electronic) Linking ISSN: 18655785 NLM ISO Abbreviation: J Hematop Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1865-5785 |
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| DOI: | 10.1007/s12308-025-00625-x |
