ArticleProceedings of SPIE--the International Society for Optical Engineering2025
Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing.Proceedings of machine learning research · 2026Article
- Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Evaluating cell AI foundation models in kidney pathology with human-in-the-loop enrichment.Communications medicine · 2025Article
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17 authors.
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Abstract
Cell nuclei instance segmentation is a crucial task in digital kidney pathology. Traditional automatic segmentation methods often lack generalizability when applied to unseen datasets. Recently, the success of foundation models (FMs) has provided a more generalizable solution, potentially enabling the segmentation of any cell type. In this study, we perform a large-scale evaluation of three widely used state-of-the-art (SOTA) cell nuclei foundation models-Cellpose, StarDist, and CellViT. Specifically, we created a highly diverse evaluation dataset consisting of 2,542 kidney whole slide images (WSIs) collected from both human and rodent sources, encompassing various tissue types, sizes, and staining methods. To our knowledge, this is the largest-scale evaluation of its kind to date. Our quantitative analysis of the prediction distribution reveals a persistent performance gap in kidney pathology. Among the evaluated models, CellViT demonstrated superior performance in segmenting nuclei in kidney pathology. However, none of the foundation models are perfect; a performance gap remains in general nuclei segmentation for kidney pathology.
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