MRI reconstruction and diagnosis of Alzheimer's disease by multimodal deep
reinforcement learning 


   Note: An Official Proposal has not been Submitted to NACC.


   Lead Investigator:    Quan Zhang
   Institution      :    Nankai University
   E-Mail           :    zqaccepted@mail.nankai.edu.cn
   Proposal ID      :    1669



   Proposal Description:
   In order to alleviate the black box characteristic of deep reinforcement learning technology, deep reinforcement learning technology is used to reconstruct MRI images. Enhancing low-quality MRI images to improve the performance of artificial intelligence in the diagnosis of Alzheimer's disease. This will make artificial intelligence having the ability to diagnose low quality clinical images. Improve the applicability of artificial intelligence in clinical practice.