EPISODE · Jun 10, 2026 · 7 MIN
欠損する造影CT相を越えて肝病変AIを共同学習するFedOG
多相造影CTの相が欠損・低品質な施設を含めても、患者データを共有せずに肝病変セグメンテーションモデルを共同学習できるか。Wu、Lin、Huらは、連合学習フレームワークFedOGでこの課題に取り組みました。
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欠損する造影CT相を越えて肝病変AIを共同学習するFedOG
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