Preprint
Aug 2026
Learning latent progression states from spatial heterogeneity in uterine histopathology
Tumor progression is accompanied by changes in architecture, morphology and microenvironmental organization, yet progression-associated heterogeneity is usually compressed into static diagnostic categories in histopathology. Here we present SpaTIE, a uterus-specific computational pathology framework that learns morphol...
Qi-Ming He, Yan Liu, Shuang Ge et al.
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