The potential of 'Segment Anything' (SAM) for universal intelligent ultrasound image guidance
Author:
Affiliation:
1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
2. Computer Aided Medical Procedures, Technical University of Munich, Germany.
Publisher
International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA)
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine,Health (social science)
Link
https://www.jstage.jst.go.jp/article/bst/17/3/17_2023.01119/_pdf
Reference23 articles.
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3. 3. Ning G, Zhang X, and Liao H. Autonomic robotic ultrasound imaging system based on reinforcement learning. IEEE Trans Biomed Engineer 2021; 68:2787-2797.
4. 4. Roshan MC, Pranata A, Isaksson M. Robotic ultrasonography for autonomous non-invasive diagnosis ‒ A systematic literature review. IEEE Trans Med Robotics Bionics. 2022; 4:863-874.
5. 5. Ning G, Zhang X, Zhang Q, Wang Z, Liao H. Real-time and multimodality image-guided intelligent HIFU therapy for uterine fibroid. Theranostics. 2020; 10:4676-4693.
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