CPS Lab Team Wins 7th Place at 2024 ECE Capstone Expo with Medical Image Security Innovation
Congratulations to the CPS Lab team for securing 7th Place at the 2024 ECE Capstone Expo with their innovative project on medical image security!
Project: Cascaded-UNet for Medical Image Security
The award-winning project, titled “Cascaded-UNet: Medical Image Security Enhancement Through AI-Powered Digital Watermarking and Visual Cryptography” (Project S24-27), addresses a critical challenge in healthcare technology: ensuring the security and authenticity of medical images in an increasingly digital healthcare landscape.
The Team
The project was developed by a talented team of undergraduate students:
- Fiona Wang
- Zachary Asis
- Yesmina Hammouda
- Irina Mukhametzhanova
- Thomas Trieu
Under the expert guidance of Dr. Dario Pompili and PhD student Tingcong Jiang, the team successfully developed an innovative approach that combines cutting-edge AI techniques with cryptographic methods to protect sensitive medical imaging data.
Technical Innovation
The Cascaded-UNet architecture represents a novel approach to medical image security, leveraging:
- AI-Powered Digital Watermarking: Using deep learning to embed imperceptible watermarks that protect image authenticity without compromising diagnostic quality
- Visual Cryptography: Implementing advanced encryption techniques specifically designed for visual data
- Cascaded Architecture: A sophisticated multi-stage processing pipeline that ensures robust security while maintaining image fidelity
This project demonstrates the CPS Lab’s continued excellence in applying advanced AI and signal processing techniques to real-world healthcare challenges. The team’s achievement highlights the importance of interdisciplinary research that bridges the gap between artificial intelligence, cybersecurity, and medical technology.
The recognition at the ECE Capstone Expo underscores the practical relevance and technical sophistication of the team’s work, which has potential applications in telemedicine, medical records management, and healthcare data security.
