{FlowCyt}: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking

Bibtex entry :

@inproceedings { bini:chil2024,
    author = { Bini, Lorenzo and Fatemeh {Nassajian Mojarrad} and Liarou, Margarita and Matthes, Thomas and Marchand-Maillet, Stéphane },
    title = { {FlowCyt}: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking },
    booktitle = { Conference on Health, Inference, and Learning (CHIL'24) },
    year = { 2024 },
    url = { https://arxiv.org/abs/2403.00024 },
}
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Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion