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Updated: Jun 13, 2026

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病理学基盤モデルの転移学習戦略：脳腫瘍分類における体系的な評価

Ken Enda1, Yoshitaka Oda1, Zen-Ichi Tanei2

  • 1Department of Cancer Pathology, Faculty of Medicine, Hokkaido University, Sapporo, Japan.

Pathology international
|February 18, 2026
PubMed
まとめ

脳腫瘍分類AIにおいて、ファウンデーションモデルを用いた線形プロ―ビング（LP）は、外部データにおけるファインチューニング（FT）よりも優れた性能を発揮する。このアプローチは、病院での症例データが限られているという課題を克服し、AIの汎化能力を向上させる。

キーワード:
転移学習ファウンデーションモデル線形プロ―ビングファインチューニング脳腫瘍分類AI病理学一般化

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Vasogenic edema is a major form of cerebral edema characterized by abnormal accumulation of fluid in the brain’s extracellular space due to disruption of the blood–brain barrier (BBB). The BBB is a specialized structure composed of endothelial cells connected by tight junctions, supported by astrocytic endfeet and a basement membrane. Under normal conditions, it tightly regulates the movement of ions, proteins, and solutes between the bloodstream and brain parenchyma. When this barrier loses...