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An interpretable multi-task whole-slide histopathology AI model for non-small cell lung cancer: Cross-cohort generalisation, spatial attention–transcriptomic integration, and molecular–immune profiling
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DOI：10.1002/ctm2.70744.png)
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Abstract
En 中文
Tumour-node-metastasis staging does not fully explain prognostic heterogeneity in non-small cell lung cancer. We evaluated whether haematoxylin-and-eosin whole-slide images could estimate histological subtype, pathological stage probabilities, survival risk and spatially grounded biological associations.
Keywords:
discrete-time survival prediction
non–small cell lung cancer
spatial-feature topology
spatial transcriptomics
tumour immune microenvironment
weakly supervised multi-task MIL
whole-slide imaging
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