琉球大学 · 国際地域創造学部

研究关键词pathology image analysis・noisy label learning・self-supervised learning・multi-scale attention・histopathology AI

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• Self-supervised Learning through Multi-magnification Feature Correspondence for Histopathological Image Analysis2025 · Yukihiro Sugiyama, Wonjik Kim, Kazuki Uehara, Hirokazu Nosato, Hidenori Sakanashi
• Noisy Labeled Data Classification via Adaptive Model Integration2025 · Masato Watanabe, Wonjik Kim, Kazuki Uehara, Hirokazu Nosato, Hidenori Sakanashi
• MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis2024 · Takeshi Yoshida, Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato, Masahiro Murakawa
• Ensemble Distillation of Divergent Opinions for Robust Pathological Image Classification2024 · Kazuki Uehara, Wataru Uegami, Hirokazu Nosato, Masahiro Murakawa, Junya Fukuoka, Hidenori Sakanashi

• 複数の異なる人工知能モデルの知識拡張に向けた連携システムの開発2023 · 若手研究

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