Ultrasonic image segmentation system and method based on side window attention mechanism

Abstract

The invention provides an ultrasonic image segmentation system and method based on a side window attention mechanism. The system comprises an ultrasonic data acquisition module, a first data transmission module, a server module, a second data transmission module and a visualization module. The first data transmission module is respectively connected with the ultrasonic data acquisition module, the server module and the visualization module; the server module comprises an image preprocessing unit and an ultrasonic image segmentation model; the ultrasonic image segmentation model comprises a convolutional neural network, a cavity convolution module, a side window attention module and a classifier; the convolutional neural network is respectively connected with the image preprocessing unit, the cavity convolution module, the side window attention module and the classifier; the second data transmission module is connected with the visualization module; according to the method, the convolutional neural network based on the side window attention mechanism is adopted, side window convolution is fused into the convolution process, the segmentation effect is more accurate in combination with the attention mechanism, and the calculation amount is greatly reduced.

Description

technical field [0001] The present invention relates to the field of physics, in particular to ultrasonic image processing technology, in particular to medical aided diagnosis technology for medical image segmentation, and in particular to an ultrasonic image segmentation system and method based on a side window attention mechanism. Background technique [0002] With the development and progress of China's medical level, ultrasound imaging has become the fastest and most economical medical image screening technology. However, for the increasing number of patients, medical workers need to spend a lot of manpower and time on medical image diagnosis. What is time-consuming and labor-intensive is medical image segmentation. [0003] At present, there are many methods for medical image segmentation. Among them, the use of traditional technical methods still has the disadvantages of low segmentation accuracy and segmentation errors caused by unbalanced categories; the use of tradi...

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Problems solved by technology

[0011] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a system and method for ultrasonic image segmentation based on the side window attention mechanism, which is used to solve the problems of heavy workload and slow efficiency in the existing ultrasonic image segmentation technology. question

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