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ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex Imaging

2021-10-24

Abstract excerpt

Tissue specimens taken from primary tumors or metastases contain important information for diagnosis and treat-ment of cancer patients. Multiplex imaging allows in situ visualization of heterogeneous cell populations, such as immune cells, in tissue samples. Most image processing pipelines first segment cell boundaries and then measure marker expression to assign cell phenotypes. In dense tissue environments, thi...

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Literature Corpus work
601af50b-1666-5479-a16d-0bb64e5bb826
DOI
10.1101/2021.10.22.464548
Open publication

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ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex ImagingDOI 10.1101/2021.10.22.464548
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