Enhancing the vision graph model by elevating the precision diagnostics with attention and convolutions in medical imaging
The COVID-19 showed us that rapid and accurate diagnostics is a necessity. Therefore, researchers began to implement deep learning models that can help the doctors to reach faster and reliable results, but there are more development to be done. In our research paper, we introduced an innovative approach to enhance the Vision Graph model's accuracy for better results. Our method exploits the strength of the ConvMixer architecture and Attention mechanism. We start by utilizing Depthwise convolution and Pointwise convolution to capture spatial information in detail whi