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Updated: Feb 14, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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多センターCTデータセットを用いた卵巣腫瘍分類のためのディープラーニングベースの人工知能モデルのパフォーマンスの評価

Anna H Koch1,2, Cris H B Claessens3, Ingrid Nies1

  • 1Department of Obstetrics and Gynecology and Catharina Cancer Institute, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, the Netherlands.

Radiology. Imaging cancer
|February 13, 2026
PubMed
まとめ

CTスキャンでの卵巣腫瘍分類のための新しいディープラーニングモデルでは,米国のモデルと放射線科医に匹敵するパフォーマンスを示しています. 臨床使用にはさらなる精錬が必要ですが,高い感度を達成しました.

キーワード:
コンピュータ支援診断 コンピュータ支援診断マルチセンター試験卵巣がん 卵巣がん卵巣腫瘍の分類

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