Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising.

•It is the first time to propose a Genetic algorithm (GA)-based method to construct CNN structures for automatic medical image analysis.•We optimize the standard genetic algorithm and employ transfer learning to speed up the evolutionary process.•The proposed framework can flexibly treat various CNN components as genes in the evolutionary process to obtain the state-of-the-art performance.•Our proposed framework is extendable to other deep learning based medical applications, such as lesion detection and tumor segmentation.