Residual Learning in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Comprehensive Survey

Residual learning with skip connections plays a crucial role in the architecture of deep neural networks, enabling easier optimization through residual learning during the training stage and improving accuracy during testing.