A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection

Author:

Al-Battal Abdullah F.,Gong Yan,Xu Lu,Morton Timothy,Du Chen,Bu Yifeng,Lerman Imanuel R,Madhavan Radhika,Nguyen Truong Q.

Funder

Research and Development

Health

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A target tracking method based on adaptive occlusion judgment and model updating strategy;PeerJ Computer Science;2023-11-08

2. Advances, Challenges and Opportunities in Deep Learning Approach for Object Detection: A Review;2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS);2023-11-01

3. DL4Cashew: Deep Learning Model For Cashew Trees Counting;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21

4. Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis;Artificial Intelligence in Medicine;2023-03

5. Data Augmentation Methods For Object Detection and Segmentation In Ultrasound Scans: An Empirical Comparative Study;2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS);2022-07

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