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Updated: Feb 13, 2026

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深層および軽量ネットワークでオステオサルコマ検出のための最適化されたデータ増強

Waala Gouda1, Sidra Tahir2, Tariq Ali2

  • 1Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt.

Journal of orthopaedics
|February 12, 2026
PubMed
まとめ

ディープラーニングモデルは,組織病理学画像から骨髄腫 (Ost) を分類する有望なことを示しています. 適度なデータ増強はNasMobileNetのパフォーマンスを向上させ,95%の精度を達成し,より深いモデルは増強の恩恵を受けました.

キーワード:
アグメンテーションベースのモデルの最適化H&Eの画像分類オステオサルコマ ヒストパトロジー histopathology腫瘍の生存可能性の評価

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