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Found 3 papers, 2 papers with code
Three-layer deep learning network random trees for fault diagnosis in chemical production process
With the development of technology, the chemical production process is becoming increasingly complex and large-scale, making fault diagnosis particularly important.
Channel prior convolutional attention for medical image segmentation
An efficient Channel Prior Convolutional Attention (CPCA) method is proposed in this paper, supporting the dynamic distribution of attention weights in both channel and spatial dimensions.
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
A network based on complementary consistency training, called CC-Net, has been proposed for semi-supervised left atrium image segmentation.
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