The proposed technology leverages a dual-pixel sensor to create a compact, high-resolution, single-shot 3D endoscopy system. By using advanced machine learning algorithms, it simultaneously extracts depth and texture information from endoscopic scenes, providing enhanced visualization for medical applications like polyp detection and minimally invasive surgeries without the need for bulky, traditional 3D imaging systems.
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