Author : Xinglong Zhu
Affiliation : Beijing Institute of Technology, China
Category : Computer Science& Information Technology
Volume, Issue, Month, Year : 11, 15, September, 2021
Abstract :
Object tracking based on ultrasound image navigation can effectively reduce damage to healthy tissues in radiotherapy. In this study, we propose a deep Siamese network based on feature fusion. Whilst adopting MobileNetV2 as the backbone, an unsupervised training strategy is introduced to enrich the volume of the samples. The region proposal network module is designed to predict the location of the target, and a non-maximum suppression-based postprocessing algorithm is designed to refine the tracking results.
Keyword : Ultrasound tracking, Siamese network, Respiratory motion estimation, One-shot learning.
For More Details:https://aircconline.com/csit/papers/vol11/csit111517.pdf
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