Classification of Alzheimer's disease: application of a transfer learning deep Q‐network method

Early diagnosis is crucial to slowing the progression of Alzheimer's disease (AD), so it is urgent to find an effective diagnostic method for AD. This study intended to investigate whether the transfer learning approach of deep Q‐network (DQN) could effectively distinguish AD patients using loc...

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Veröffentlicht in:	The European journal of neuroscience 2024-04, Vol.59 (8), p.2118-2127
Hauptverfasser:	Ma, Huibin, Wang, Yadan, Hao, Zeqi, Yu, Yang, Jia, Xize, Li, Mengting, Chen, Lanfen
Format:	Artikel
Sprache:	eng
Schlagworte:	Alzheimer's disease Brain mapping Classification deep Q‐network Diagnosis Functional magnetic resonance imaging local metrics Magnetic resonance imaging Neurodegenerative diseases Neuroimaging reinforcement learning resting‐state fMRI Transfer learning
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