Article

UNSEG: unsupervised segmentation of cells and their nuclei in complex tissue samples

2023-11-15

Abstract excerpt

<h4>ABSTRACT</h4> Multiplexed imaging technologies have made it possible to interrogate complex tumor microenvironments at sub-cellular resolution within their native spatial context. However, proper quantification of this complexity requires the ability to easily and accurately segment cells into their sub-cellular compartments. Within the supervised learning paradigm, deep learning based segmentation methods de...

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Literature Corpus work: 72123995-f812-5e7f-9028-42984f1879d2
DOI: 10.1101/2023.11.13.566842

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