IEEE

LOOC: Localizing Organs Using Occupancy Networks and Body Surface Depth Images

Abstract: We introduce a novel approach for the precise localization of 67 anatomical structures from single depth images captured from the exterior of the human body. Our method uses a multi-class ...
IEEE

Boost the Inference with Co-Training: A Depth-Guided Mutual Learning Framework for Semi-Supervised Medical Polyp Segmentation

Abstract: Semi-Supervised polyp segmentation has made significant progress in recent years as a potential solution for computer-assisted treatment. Since depth images can provide extra information ...

VeraSnap Becomes World’s First Consumer App to Detect Photo-of-Screen Attacks Using LiDAR Depth Analysis

VeritasChain releases CPP with LiDAR/ToF depth analysis. VeraSnap delivers world's first consumer LiDAR-based screen ...