, a unique n th layer one-dimensional (1D) convolutional neural network-based U-Net model for automatic sleep arousal …, it has been found that U-Net performs better accuracy as compared to the state-of-the-art methods. Practical implications … researchers have suggested U-Net-based detection of sleep arousal. Research limitations/implications From the experimental results …

delineation of tumor sub regions. This article presents a 3D U-net Convolutional Neural Network for segmentation of a brain tumor … analysis, the proposed U-net model achieved considerably good results compared to the other segmentation models. …