Article

Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology

2024-04-26

Abstract excerpt

The tumor microenvironment is widely recognized for its central role in driving cancer progression and influencing prognostic outcomes. There have been increasing efforts dedicated to characterizing this complex and heterogeneous environment, including developing potential prognostic tools by leveraging modern deep learning methods. However, the identification of generalizable data-driven biomarkers has been limit...

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Literature Corpus work: 4024bbd2-a2ad-5e49-b848-f7d17752c62f
DOI: 10.1101/2024.04.22.590118

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