DynMultiDep:うつ病検出のための動的マルチモーダル融合およびマルチスケール時系列モデリングアプローチ
Jincheng Li1, Menglin Zheng1, Jiongyi Yang1
1School of Artificial Intelligence and Computer Science, Nantong University, Nantong 226019, China.
Journal of imaging
|January 27, 2026
まとめ
この研究では、動的マルチモーダルうつ病検出のための新しいフレームワークであるDynMultiDepを紹介します。グローバルパターンとローカルパターンの両方を効果的に統合し、メンタルヘルス状態の検出精度を向上させます。
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