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Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables.

Computers in biology and medicine - 1 Mar 2023

Fu Xiaohang, Patrick Ellis, Yang Jean Y H, Feng David Dagan, Kim Jinman

Abstract excerpt

The spatial architecture of the tumour microenvironment and phenotypic heterogeneity of tumour cells have been shown to be associated with cancer prognosis and clinical outcomes, including survival. Recent advances in highly multiplexed imaging, including imaging mass cytometry (IMC), capture spatially resolved, high-dimensional maps that quantify dozens of disease-relevant biomarkers at single-cell resolution,...

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PMID: 36736097
DOI: 10.1016/j.compbiomed.2023.106576

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