Segmentation of liver CT images based on weighted medical transformer model
Qun Gu,
Hai Zhang,
Rui Cai
et al.
Abstract:Deep convolutional neural networks have made significant strides in the field of medical image segmentation. Although existing convolutional structures enhance performance by leveraging local image information, they often lose the interdependence information between contexts. Therefore, the article utilizes the multi-attention mechanism of the Transformer structure to more comprehensively express relationships between contexts and introduced the Transformer network architecture into the field of medical image … Show more
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