Advanced AI for Radiological Image Analysis
Pioneering artificial intelligence solutions for multi-modal radiological image analysis and enhancement. Our platform showcases state-of-the-art deep learning models including Generative Adversarial Networks (GANs) and advanced segmentation algorithms applied across diverse imaging modalities—from medical diagnostics (echocardiography, cardiac MRI) to industrial CT imaging for battery cell analysis.
Cross-Domain Radiological Applications
Medical Imaging
Advanced cardiac imaging analysis using GANs for synthetic data generation in echocardiography and cardiac MRI, addressing data scarcity challenges in medical AI training.
Industrial CT Analysis
Sophisticated battery cell inspection through high-resolution CT imaging, featuring radial and axial segmentation for quality control and defect detection in manufacturing.
Image Enhancement
PairGAN technology for CT image quality improvement, enabling clearer visualization and more accurate analysis across both medical and industrial applications.
AI-Driven Segmentation
Automated region-of-interest detection and precise boundary delineation using deep learning, applicable to diverse radiological imaging modalities.
