Xun, S., et al. (2024). ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation.

Abstract Deep learning, especially through convolutional neural networks (CNN) such as the U-Net 3D model, has revolutionized fault identification from seismic data, representing a significant leap ...

Zhang et al. (2023) presented a weed recognition model based on an improved Swin-Unet model. The model initially adopts U-Net as the semantic segmentation framework, introduces the Swin Transformer ...

We introduce a novel Multi-Scale Residual (MSR) U-Net model in this study replacing convolution block and skip connections with an improved Multi-Scale Residual (MSR) convolution block and Bottleneck ...

To overcome the challenge of few-shot task, Sen et al., 2019 trained a U-net like encoder-decoder model with label perturbing strategy and the ensemble strategy. In recent years, semisupervised ...