On the Design Optimization of a Parallel Robotic System for Liver Cancer Treatment
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45770-8_52
Reference16 articles.
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2. Arif, M., Moelker, A., van Walsum, T.: Automatic needle detection and real-time Bi-planar needle visualization during 3D ultrasound scanning of the liver. Med. Image Anal. 53, 104–110 (2019)
3. Birlescu, I., Husty, M., Vaida, C., Plitea, N., Nayak, A., Pisla, D.: Complete geometric analysis using the study SE(3) parameters for a novel, minimally invasive robot used in liver cancer treatment. Symmetry 11, 1491 (2019)
4. Dou, H., Jiang, S., Yang, Z., Sun, L., Ma, X., Huo, B.: Design and validation of a CT-guided robotic system for lung cancer brachytherapy. Med. Phys. 44(9), 4828–4837 (2017)
5. Gherman, B., et al.: Risk assessment-oriented design of a needle insertion robotic system for non-resectable liver tumors. Healthcare 10, 389 (2022)
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