3D Path Planning for Anterior Spinal Surgery Based on CT images and Reinforcement Learning*
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Gang Yu | Qi Zhang | Meng Li | Ying Hu | Yongmei Sun | Xiaozhi Qi | Qi Zhang | Meng Li | Qi Zhang | Ying Hu | Gang Yu | Xiaozhi Qi | Yongmei Sun
[1] Yu Sun,et al. Robot-Assisted Decompressive Laminectomy Planning Based on 3D Medical Image , 2018, IEEE Access.
[2] Xiongfei Li,et al. A multi-scale 3D Otsu thresholding algorithm for medical image segmentation , 2017, Digit. Signal Process..
[3] Xun Wang,et al. A comparative study of deformable contour methods on medical image segmentation , 2008, Image Vis. Comput..
[4] A. Fabijańska. Segmentation of pulmonary vascular tree from 3D CT thorax scans , 2015 .
[5] Nirmalya Roy,et al. Implementation of Image Processing and Reinforcement Learning in Path Planning of Mobile Robots , 2017 .
[6] Dong Liang,et al. Modeling of path planning and needle steering with path tracking in anatomical soft tissues for minimally invasive surgery. , 2017, Medical engineering & physics.
[7] Jianzhong Xu,et al. Comparison between the antero-posterior and anterior approaches for treating L5-S1 vertebral tuberculosis , 2012, International Orthopaedics.
[8] Seyed-Ahmad Ahmadi,et al. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[9] Xin Xu,et al. Dynamic path planning of a mobile robot with improved Q-learning algorithm , 2015, 2015 IEEE International Conference on Information and Automation.
[10] Fangwen Zhai,et al. Vascular segmentation of head phase-contrast magnetic resonance angiograms using grayscale and shape features , 2017, Comput. Methods Programs Biomed..
[11] Jing Tian,et al. Retinal image registration using topological vascular tree segmentation and bifurcation structures , 2015, Biomed. Signal Process. Control..
[12] Payel Ghosh,et al. Incorporating priors for medical image segmentation using a genetic algorithm , 2016, Neurocomputing.
[13] Bo Li,et al. A multi-agent path planning algorithm based on hierarchical reinforcement learning and artificial potential field , 2015, 2015 11th International Conference on Natural Computation (ICNC).
[14] Pierre Collet,et al. Pareto Front vs. Weighted Sum for Automatic Trajectory Planning of Deep Brain Stimulation , 2016, MICCAI.
[15] Jie Zhang,et al. Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method , 2017, AAAI.
[16] Stephane Cotin,et al. Preoperative trajectory planning for percutaneous procedures in deformable environments , 2016, Comput. Medical Imaging Graph..