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Author

Sehwan Yoo

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Open access Oct 2026

AAC-TTA: Anti-adversarial consistency with test-time adaptation for imbalanced histopathology classification under scanner-induced domain shift.

The performance of medical image classification models can degrade at deployment because of two common real-world challenges: domain shift and class imbalance. Domain shift causes whole-slide images acquired on different scanners to exhibit substantial visual variation, while class imbalance under-represents clinically...

Sehwan Yoo, Wilson Wen Bin Goh · 0 citations
#artificial intelligence Preprint Sep 2026

Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation

A clinically curated Pan-Asia WSI--report dataset is introduced and the REG 2025 benchmark is established as a benchmark for evaluating WSI-based structured report generation and vision-language understanding in computational pathology, providing insights for the design of clinically grounded multimodal pathology model...

Yu-Mi Lee, Harim Oh, Hyo-yun Kim et al. · 0 citations

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