AI-aided holographic flow cytometry for label-free identification of ovarian cancer cells in the presence of unbalanced datasets.

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作者： F,Borrelli ^[1] ; J,Behal ^[2] ; A,Cohen ^[2] ; L,Miccio ^[3] ; P,Memmolo ^[3] ; I,Kurelac ^[3] ; A,Capozzoli ^[2] ; C,Curcio ^[1] ; A,Liseno ^[2] ; V,Bianco ; N T,Shaked ; P,Ferraro

作者单位： Tel Aviv University, Ramat Aviv, 6997801 Tel Aviv, Israel. ^[1] Institute of Applied Sciences and Intelligent Systems "E. Caianiello," CNR-ISASI, Via Campi Flegrei 34, 80078 Pozzuoli, Napoli, Italy. ^[2] Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI), Università di Napoli Federico II, 80125 Napoli, Italy. ^[3]

DOI 10.1063/5.0153413

PMID 37305657

发布时间 2023-06-13

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APL bioengineering

2023年7卷2期

026110页

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AI-aided holographic flow cytometry for label-free identification of ovarian cancer cells in the presence of unbalanced datasets.

APL bioengineering

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APL bioengineering

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AI-aided holographic flow cytometry for label-free identification of ovarian cancer cells in the presence of unbalanced datasets.

APL bioengineering

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APL bioengineering

相关期刊

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