In order to achieve efficient and accurate breast tumor recognition and diagnosis, this paper proposes a breast tumor ultrasound image segmentation method based on U-Net framework, combined with residual block and attention mechanism. In this method, the residual block is introduced into U-Net network for improvement to avoid the degradation of model performance caused by the gradient disappearance and reduce the training difficulty of deep network. At the same time, considering the features of spatial and channel attention, a fusion attention mechanism is proposed to be introduced into the image analysis model to improve the ability to obtain the feature information of ultrasound images and realize the accurate recognition and extraction of breast tumors. The experimental results show that the Dice index value of the proposed method can reach 0.921, which shows excellent image segmentation performance.
In cross-cultural communication, due to the different social norms, values, and thinking patterns of communicators, pragmatic failures will inevitably occur, which will affect the smooth progress of cross-cultural communication. Using data analysis method, this paper makes a comparative study on English and Chinese pragmatic failure from three aspects: pragmatic language failure, sociopragmatic failure and non-verbal communication pragmatic failure, and analyzes the relationship between variables based on variable covariance by structural equation model relationship between the variables. The results of the survey show that the students surveyed all have pragmatic failures in different degrees and aspects.
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