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DEEP NETWORK LUNG TEXTURE RECOGNITON METHOD COMBINED WITH MULTI-SCALE ATTENTION
DEEP NETWORK LUNG TEXTURE RECOGNITON METHOD COMBINED WITH MULTI-SCALE ATTENTION
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机译:深度网络肺纹理认可方法结合多尺度关注
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摘要
The invention discloses a deep network lung texture recognition method combined with multi-scale attention, which belongs to the field of image processing and computer vision. In order to accurately recognize the typical texture of diffuse lung disease in computed tomography (CT) images of the lung, a unique attention mechanism module and multi-scale feature fusion module were designed to construct a deep convolutional neural network combing multi-scale and attention, which achieves high-precision automatic recognition of typical textures of diffuse lung diseases. In addition, the proposed network structure is clear, easy to construct, and easy to implement.
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