Minimally invasive surgery and automated robot-guided surgery are likely to be performed under extreme conditions, which require new demands on intraoperative information acquisition capabilities. Three-dimensional (3D) brain point cloud generation plays an essential role in overcoming the visual limitations of these surgeries.
One of the applications of generative AI is in the field of 3D brain point cloud generation. By using deeplearning algorithms, the 3D point cloud of the patient’s brain can be generated for reconstruction during minimally invasive surgery. However, some conventional existing point cloud reconstruction methods still have limitations when applied directly to real surgical scenarios.
Now, a research team led by Prof...
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