HIGHLIGHTS
- What: Convolution Neural_Networks are typically an effective tool in AD diagnosis, but due to the fully connected layer`s limitations in only inputting 1D data, the study proposes shallow 3D-CNN networks. The research aims to enhance classification efficiency by transferring learned visual representations from an Alzheimer`s Disease (AD) versus Normal Control (NC) model to the pMCI versus sMCI classification model.
- Who: Lucas Quan from the Saint Ignatius College Preparatory, CA, USA have published the paper: AI neurotechnology compatibility with Alzheimer’s Disease Treatment: A Review, in the : Proceedings of the 4th International Conference . . .

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