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arXiv:2604.23799 · detector doi_compliance · incontrovertible · 2026-05-19 22:45:08.402079+00:00

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Adam Goode et al. “OpenSlide: A vendor-neutral software foundation for digital pathology”. en. In: Journal of Pathology Informatics4.1 (Jan. 2013), p. 27.issn: 21533539.doi: 10.4103/2153-3539. 119005.url: https : / / linkinghub . elsevier . com / retrieve / pii / S2153353922006484 (visited on 02/27/2026). Methods Dataset construction To enable cross-modal supervision while preserving morphological diversity, we constructed a multi-source training dataset that combined spatially paired H&E–mIF images with large-scale public nuclear and whole-cell segmentation datasets. The paired data consisted primarily of the ORION colorectal cancer (CRC) cohort 16 and the 10x Xenium public dataset,30 which together provide explicit molecular boundary supervision for transferring cytoplasmic information to H&E. The ORION dataset included 41 whole-slide image (WSI) pairs, each containing spatially aligned brightfield H&E and mIF images. The mIF panels comprised 19 fluorescence channels. For segmentation supervision, we selected structurally informative mIF channels: DAPI for nuclear boundary delineation, together with the membrane-associated markers E-cadherin and CD45 to delineate epithelial and immune cell boundaries, respectively. To improve robustness across heterogeneous tumor microenvironments, we constructed a composite membrane representation by integrating E-cadherin and CD45 signals, enabling unified whole-cell supervision across epithelial nests and immune-rich stromal regions. All

Evidence payload

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