Article

CLEAR-IT: Contrastive Learning to Capture the Immune Composition of Tumor Microenvironments

2024-08-20

Abstract excerpt

Accurate phenotyping of cells in the tumor microenvironment is crucial for understanding cancer biology and developing effective therapies. However, current methods require precise cell segmentations and struggle to generalize across different imaging modalities, limiting their utility in digital pathology. Here, we show that Contrastive Learning Enabled Accurate Registration of Immune and Tumor Cells (CLEAR-IT) o...

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Literature Corpus work: cb32205f-3ee5-5bb6-8637-8aee4872ece4
DOI: 10.1101/2024.08.20.608738

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