Learning global dependencies based on hierarchical full connection for brain tumor segmentation
Computer Methods and Programs in Biomedicine(2022)
摘要
•We propose a light-weight module, H-FC, which has a good ability to learn global dependencies.•H-FC can be easily substitute attention modules that lack the ability to learn global dependencies.•H-FC can be applied to high-resolution low-level feature maps.
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关键词
Brain tumor segmentation,Global dependencies,Hierarchical full connection,Attention
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