most citedOn the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data

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cs.CV2024★ 1 cited

On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data

Lisa Weijler, Michael Reiter, Pedro Hermosilla +2

This paper evaluates various deep learning methods for measurable residual disease (MRD) detection in flow cytometry (FCM) data, addressing questions regarding the benefits of mode…