Research on breast tumor segmentation algorithm based on improved TransU-Net
Aiming at the problems of high scattering noise,blurred tumor edges and complex and diverse shapes in ultrasound breast tumor images,this paper proposes a TransU-Net-based multipath feature fusion network(MFF-Net)by improving on the basis of TransU-Net.In this paper,we analyze the overall structure of MFF-Net,the multipath feature fusion extraction module and the deep supervision mechanism,and experimentally verified the effectiveness of MSF-Net in processing breast ultrasound images with blurred edges and complex and diverse shapes.The results show that MSF-Net outperforms existing mainstream methods in several evaluation indexes.
breast ultrasound image segmentationdeep learningmultipath fusiondeep supervision
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