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Neural network evolution using expedited genetic algorithm for medical image denoising
Neural network evolution using expedited genetic algorithm for medical image denoising
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机译：利用加速遗传算法对医学图像去噪的神经网络演变
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摘要
Various embodiments for image denoising using a convolutional neural network (CCN) are described. A system may include at least one computing device and program instructions stored in memory and executable in the at least one computing device that, when executed, direct the at least one computing device to implement a genetic algorithm (GA) routine that identifies and optimizes a plurality of hyperparameters for use in denoising an image using the convolutional neural network. An image may be denoised using the convolutional neural network, where the image is denoised using the hyperparameters identified and optimized in the genetic algorithm routine.
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