Warm-started RL policy performs iterative rigid registration of CT to laparoscopic video, reaching 15.70 mm average TRE with quicker convergence than hybrid supervised-optimization methods.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization10(4), 441–450 (2022)
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Warm-Started Reinforcement Learning for Iterative 3D/2D Liver Registration
Warm-started RL policy performs iterative rigid registration of CT to laparoscopic video, reaching 15.70 mm average TRE with quicker convergence than hybrid supervised-optimization methods.