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U-Net Convolutional Networks Performance Based on Software-Hardware Cooperation Parameters: A Review
2022
International Journal of Computing and Digital Systems
In recent years, the continued advances of the deep learning as a part of machine learning produces an accuracy which resembles the people's performance in processing various challenges of the real world. U-Net, as convolutional neural network (CNN), is one of the deep learning architectures that have been utilized to perform segmentation in several applications. The flexible design of the U-Net, utilizing the data augmentation approach, has been contributed in the achievement of successful
doi:10.12785/ijcds/110180
fatcat:gua2kp5cknhmxlnnmanu3d43ma