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Author

Hyunjin Park

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Open access Oct 2026

Deep learning-based mitotic quantification for objective adjunct for grading of urothelial carcinoma: a multi-institutional validation study

Histological grading of urothelial carcinoma is subject to interobserver variability. We evaluated whether artificial intelligence (AI)-based whole-slide mitotic quantification provides an objective adjunct to histological grading. We developed and validated a deep learning-based mitotic detection framework trained...

Messi H.J. Lee, Jae-Myung Jang, Jangwon Seo et al. · 0 citations
Preprint Aug 2026

Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer

An outcome informed spatial pathology framework in TNBC that integrates AI generated recurrence risk heatmaps with mass spectrometry based spatial proteomics is developed and defines a new role for outcome trained AI models as spatially explicit experimental guides that connect prognostic morphology with localized mole...

Yesung Cho, Ji Hwan Park, Chanil Kim et al. · 0 citations

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