Single-detector multiplex imaging flow cytometry for cancer cell classification with deep learning.

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作者： Zhiwen,Wang ^[1] ; Qiao,Liu ^[2] ; Jie,Zhou ^[3] ; Xuantao,Su ^[3]

作者单位： School of Integrated Circuits, Shandong University, Jinan, China.;Institute of Biomedical Engineering, School of Control Science and Engineering, Shandong University, Jinan, China. ^[1] Department of Molecular Medicine and Genetics, School of Basic Medicine Sciences, Shandong University, Jinan, China. ^[2] School of Integrated Circuits, Shandong University, Jinan, China. ^[3]

关键词 cancer detection deep learning imaging flow cytometry multiplex imaging single cells wavelength division multiplexing

主题词人类(Humans);流式细胞术(Flow Cytometry);细胞系, 肿瘤(Cell Line, Tumor);图像处理, 计算机辅助(Image Processing, Computer-Assisted);女(雌)性(Female);卵巢肿瘤(Ovarian Neoplasms);图像细胞测定(Image Cytometry)

DOI 10.1002/cyto.a.24890

PMID 39101554

发布时间 2024-10-23

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