Back to search

Article

Deep Multimodal Graph-Based Network for Survival Prediction from Highly Multiplexed Images and Patient Variables

2022-07-20

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, th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ca0b6459-7ff3-55d7-b0c7-c6e14c734e39
DOI
10.1101/2022.07.19.500604
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep Multimodal Graph-Based Network for Survival Prediction from Highly Multiplexed Images and Patient VariablesDOI 10.1101/2022.07.19.500604
Select a neighboring publication to make it the new centre.