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Updated: May 10, 2026

A 3D Spheroid Model for Glioblastoma
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球投影ベースのU-Netと局所的洗練を用いたグリオーマセグメンテーションのためのボクセル単位の不確実性ガイドフレームワーク

Zhenyu Yang1,2,3, Chen Yang1,2, Rihui Zhang1,2

  • 1Medical Physics Graduate Program, Duke Kunshan University, Kunshan, Jiangsu, China.

Medical physics
|February 27, 2026
PubMed
まとめ

本研究では、脳グリオーマの不確実性ガイドハイブリッドセグメンテーション手法を導入し、2Dおよび3D深層学習モデルを組み合わせて腫瘍亜領域のセグメンテーション精度を大幅に向上させ、臨床管理を改善する。

キーワード:
深層学習グリオーマセグメンテーション球投影不確実性定量化

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