SGD-Net: Intelligent Diagnostic and Predictive System for Stroke Using MRI images
Stroke causes healthcare burden. Neuroimaging-based AI integration for in-depth stroke analysis helps stroke care. The Semantic Segmentation Guided Detector Network (SGD-Net) applies 2-stage models to accurately segment and quantify ischemic lesions on brain MRI images. Lesion-based semantic and radiomic analysis and feature fusion precisely predict outcomes, stroke etiology, and large artery stenosis. SGD-Net integrates neurology and neuroimaging, making it highly valuable and applicable.
Intelligent Pitch Cutting and Analysis System for Professional Baseball Broadcasting
Development of high efficiencDevelopment of DC Brushless Electric Screwdriver Controller Used in Production Line Management Systemy DC brushless motor introduced into small air compressor
Artificial Intelligent 3D Sensing Image Processing System Based on Array Sensing Lidar
"1) Integrating AI recognition, IoT, and blockchain into traceable software and hardware for recycling UCO 2) Cutting-edge 3D learning platform powered by Spatial AI 3) Optimize use of existing buildings by making them transformable and adaptive to human needs at the click of a button 4) Non-contact image analysis and calculation technology to capture vital signs through dynamic face detection"
Technology maturity：Prototype
Exhibiting purpose：Display of scientific results
Trading preferences：Negotiate by self
Coming soon!