Article

Tissue as Landscape: An Interpretable Ecological Framework for Quantifying Whole-Slide Spatial Architecture and Cancer Prognosis

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>Background Accurate risk stratification remains essential for guiding cancer management, yet conventional clinicopathological factors and many whole-slide image (WSI)-based deep learning models incompletely capture interpretable tissue-level spatial heterogeneity. We developed Tissue Ecological Landscape (TEL), a scalable and interpretable computational pathology framework that convert...

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Literature Corpus work: f0f48d99-eb98-55e2-9866-d76daab534ce
DOI: 10.21203/rs.3.rs-10578253/v1

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