Publications by authors named "Weikang Jin"
Article Synopsis
- Incurable Alzheimer's disease (AD) poses significant challenges for elderly individuals and their families, making early diagnosis crucial.
- The authors introduce a new model called Local and Global Graph ConvNeXt, which combines convolutional neural networks and Transformers to better extract both local and global features from structural magnetic resonance imaging (sMRI).
- Their model demonstrates impressive performance, achieving 95.81% accuracy while utilizing fewer parameters and floating point operations per second (FLOPS) compared to existing diagnostic models.