3 papers
cs.CV2026
VitaminP: cross-modal learning enables whole-cell segmentation from routine histology
Yasin Shokrollahi, Karina B. Pinao Gonzales, Elizve N. Barrientos Toro +5
Accurate whole-cell and nuclear segmentation is essential for precision pathology and spatial omics, yet routine hematoxylin and eosin (H&E) staining provides limited cytoplasmic c…
cs.CV2026
Prototype-driven fusion of pathology and spatial transcriptomics for interpretable survival prediction
Lihe Liu, Xiaoxi Pan, Yinyin Yuan +1
Whole slide images (WSIs) enable weakly supervised prognostic modeling via multiple instance learning (MIL). Spatial transcriptomics (ST) preserves in situ gene expression, providi…
cs.CV2025
CellSymphony: Deciphering the molecular and phenotypic orchestration of cells with single-cell pathomics
Paul H. Acosta, Pingjun Chen, Simon P. Castillo +3
Xenium, a new spatial transcriptomics platform, enables subcellular-resolution profiling of complex tumor tissues. Despite the rich morphological information in histology images, e…