Ultrasonic breast tumor automatic segmentation method based on improved u-network based on attention enhancement
A breast tumor, automatic segmentation technology, applied in image enhancement, neural learning methods, biological neural network models, etc., can solve the problems of lack of training data, the segmentation effect needs to be further improved, and the contrast of ultrasound images is low, to accelerate network convergence, Increase computational cost and alleviate the effect of gradient explosion
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[0052] The present invention will be further described below in conjunction with the accompanying drawings.
[0053] Such as figure 1 As shown, the automatic segmentation method of ultrasonic breast tumor based on improved U-shaped network based on attention enhancement includes the following steps,
[0054] Step (A), constructing an attention-enhancing improved U-shaped network structure for extracting ultrasound breast tumor target features;
[0055] Step (B), establishing a mixed attention loss function for attention enhancement and improved U-shaped network structure, which is used to obtain a more accurate network loss value;
[0056] Step (C), improve the U-shaped network structure and mixed attention loss function according to the attention enhancement, fine-tune the network parameters through the network layered training method combining thickness and fineness, improve the accuracy of the network parameters, and realize the detection of breast ultrasound image lesion ...
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