Computer Vision News Computer Vision News 34 Deep Learning by RSIP Vision Extracting 3D Information from a Single Medical Image Using Deep Learning Arik Rond, who is Vice President, Research & Development at RSIP Vision, talks to us about extracting 3D information from medical images and videos and how recent advances in deep learning are changing the game and enabling more precise and efficient solutions. Accurately measuring and analyzing 3D structures is crucial for clinicians in medical procedures, and doing so has traditionally required complex techniques like stereo imaging or video analysis. However, a new solution has emerged, which means approximate 3D information can be extracted from a single image, simplifying surgeries and enhancing precision. Many interventions can greatly benefit from this kind of technology, and one of the most common procedures is kidney stone surgery and removal. A typical process inserts a ureteroscope into the kidney to visualize the stone while a laser breaks it down. “The question is when to stop,” Arik tells us. “The surgeon needs to remove the stone at some point but doesn’t want to do so before it’s small enough because it’ll get stuck in the ureter, requiring additional action.”
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