UNeXt: MLP-based Rapid Medical Image Segmentation Network
Official Pytorch Code base for UNeXt: MLP-based Rapid Medical Image Segmentation Network Paper | Project Introduction UNet and its latest extensions like TransUNet have been the leading medical image segmentation methods in recent years. However, these networks cannot be effectively adopted for rapid image segmentation in point-of-care applications as they are parameter-heavy, computationally complex and slow to use. To this end, we propose UNeXt which is a Convolutional multilayer perceptron (MLP) based network for image segmentation. We design UNeXt in […]
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