Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization

113The iteratively optimized CNN (IO-CNN) framework. (a) Weak label initialization process based on spatial overlap rate; (b) Iteratively optimized CNN (IO-CNN) training process. The training process will iterate over the 219,800 input 3D maps starting with the initial weak labels. Only the 3D maps with nonzero labels will be taken as input for the current training iteration.