Neural Segmentation Method of Ultrasound Image

doi:10.13190/j.jbupt.2017-151

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2018, Vol. 41 ›› Issue (1): 115-120.doi: 10.13190/j.jbupt.2017-151

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Neural Segmentation Method of Ultrasound Image

XU Chen-yang, LI Meng-xin, YANG Juan

Communication Software Engineering Center, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2017-07-20 Online:2018-02-28 Published:2018-01-04

Abstract

Abstract: To improve the efficiency of neural segmentation in ultrasound images, we propose a new neural structure the U-shape residual network. Compared with U-net network, this structure deepens the original structure to improve the expression ability. By standardizing the parameters of each layer, the structure reduces the training time and improve the segmentation effect. According to the results, the U-shape residual network segmentation effect increased by 13% compared with U-net network and improved about 7% compared with SegNet network.

Key words: deep learning, neural segmentation, convolutional neural network

CLC Number:

TP18

XU Chen-yang, LI Meng-xin, YANG Juan. Neural Segmentation Method of Ultrasound Image[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(1): 115-120.

References

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Neural Segmentation Method of Ultrasound Image

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