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Training an automated circulating tumor cell classifier when the true classification is uncertain.

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第一作者： Afroditi,Nanou

第一单位： Department of Medical Cell BioPhysics, Faculty of Science and Technology, University of Twente, Enschede 7522 NH, The Netherlands.

作者： Afroditi,Nanou ^[1] ; Nikolas H,Stoecklein ^[2] ; Daniel,Doerr ^[3] ; Christiane,Driemel ^[2] ; Leon W M M,Terstappen ^[4] ; Frank A W,Coumans ^[4]

作者单位： Department of Medical Cell BioPhysics, Faculty of Science and Technology, University of Twente, Enschede 7522 NH, The Netherlands. ^[1] Department of General, Visceral and Pediatric Surgery, Heinrich-Heine University, University Hospital Düsseldorf, Düsseldorf 40225, Germany. ^[2] Institute for Medical Biometry and Bioinformatics, Heinrich Heine University, Düsseldorf, Germany. ^[3] Department of Medical Cell BioPhysics, Faculty of Science and Technology, University of Twente, Enschede 7522 NH, The Netherlands.;Decisive Science, Amsterdam 1019 BB, The Netherlands. ^[4]

关键词 automated classifier circulating tumor cell label uncertainty prognostic power tumor-derived extracellular vesicle

DOI 10.1093/pnasnexus/pgae048

PMID 38371418

发布时间 2024-02-20

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