Fig. 3From: An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasksOverview of our proposed multi-input Conv-Att model. Our model simultaneously takes clock drawing, cube-copying, and trail-making images as its inputs and processes them using a cascade of CNNs and a stack of self-attention layersBack to article page