Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry

Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry

Highly multiplexed imaging technology is a powerful tool to facilitate understanding the composition and interactions of cells in tumor microenvironments at subcellular resolution, which is crucial for both basic research and clinical applications. Imaging mass cytometry (IMC), a multiplex imaging m...

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Bibliographic Details
Main Authors: Xu Xiao, Ying Qiao, Yudi Jiao, Na Fu, Wenxian Yang, Liansheng Wang, Rongshan Yu, Jiahuai Han
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Genetics
Subjects:
imaging mass cytometry
multiplexed imaging
single cell segmentation
U-net
knowledge distillation
digital pathology
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.721229/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.721229/full

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