Advanced medical imaging analysis and early detection systems using cutting-edge AI to identify cardiovascular conditions from various imaging modalities.
3D Model Viewer with Segmentation presents an applied research project focused on the automatic segmentation of war injuries from 3D scans of the human body. Using 2D projections of 3D models (.obj), the system leverages DeepSkin, a neural network for wound detection, to analyze and mark injured areas. The segmented results are reprojected onto the 3D model, allowing direct visual comparison in a web interface. Users can upload their own models or explore built-in examples. The goal is to accelerate injury assessment in critical situations and provide a diagnostic aid through AI.