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Updated: Jun 27, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
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Published on: June 9, 2018

将来の認知機能低下を予測するためのディープラーニング:脳MRIと臨床データを用いたマルチモデルのアプローチ

Tamoghna Chattopadhyay1, Pavithra Senthilkumar1, Rahul H Ankarath1

  • 1Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, United States.

Frontiers in neuroimaging
|February 20, 2026
PubMed
まとめ

認知症の進行を予測するのは難しい. 脳のMRIスキャンとディープラーニングを用いた臨床データの組み合わせは,潜在的可能性を示しているが,臨床的要因だけでは強力な予測要因である.

キーワード:
アルツハイマー病の予後についてオートグルオン (AutoGluon) とは病院における人工知能臨床的意思決定支援システム臨床的な衰退が起こりました.クリニカル・デメンシア・レーティングディープラーニングとは,ディープラーニングです.マルチモダルの分析

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