Automated identification of cell populations in flow cytometry data with transformers.

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第一作者： Matthias,Wödlinger

第一单位： TU Wien, Vienna, Austria; St Anna Children's Cancer Research Institute, Vienna, Austria. Electronic address: mwoedlinger@cvl.tuwien.ac.at.

作者： Matthias,Wödlinger ^[1] ; Michael,Reiter ^[2] ; Lisa,Weijler ^[3] ; Margarita,Maurer-Granofszky ^[4] ; Angela,Schumich ^[4] ; Elisa O,Sajaroff ^[5] ; Stefanie,Groeneveld-Krentz ^[6] ; Jorge G,Rossi ^[5] ; Leonid,Karawajew ^[6] ; Richard,Ratei ^[7] ; Michael N,Dworzak ^[8]

作者单位： TU Wien, Vienna, Austria; St Anna Children's Cancer Research Institute, Vienna, Austria. Electronic address: mwoedlinger@cvl.tuwien.ac.at. ^[1] TU Wien, Vienna, Austria; St Anna Children's Cancer Research Institute, Vienna, Austria. ^[2] TU Wien, Vienna, Austria. ^[3] St Anna Children's Cancer Research Institute, Vienna, Austria; Labdia Labordiagnostik GmbH. ^[4] Cellular Immunology Laboratory, Hospital de Pediatria "Dr. Juan P. Garrahan", Buenos Aires, Argentina. ^[5] Department of Pediatric Oncology/Hematology, Charité Universitätsmedizin Berlin, Berlin, Germany. ^[6] Department of Hematology, Oncology and Tumor Immunology, HELIOS Klinikum Berlin-Buch, Berlin, Germany. ^[7] St Anna Children's Cancer Research Institute, Vienna, Austria. ^[8]

关键词 Automated gating Deep learning Multiparameter flow cytometry Self-attention

主题词青少年(Adolescent);儿童(Child);流式细胞术(Flow Cytometry);人类(Humans);肿瘤, 残余(Neoplasm, Residual);前体细胞淋巴母细胞白血病淋巴瘤(Precursor Cell Lymphoblastic Leukemia-Lymphoma)

DOI 10.1016/j.compbiomed.2022.105314

PMID 35247762

发布时间 2022-05-09

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