Special Session 1: Bridging Theory and Application:
Advanced Image Processing for Medical Diagnosis, Security, and Edge Intelligence

Short description:
This special session focuses on cutting-edge image processing technologies and their interdisciplinary applications, addressing critical challenges across medical diagnostics, multimedia security, and edge deployment. It encompasses innovations in medical image analysis (e.g., ultrasound-based liver cancer diagnosis) that advance clinical decision-making, alongside breakthroughs in image restoration, super-resolution, and compression to optimize visual data quality and transmission efficiency. The session also explores solutions for multimedia security, including detection of AI-generated forgeries and image tampering, while emphasizing model lightweighting and efficient deployment on edge devices via techniques like knowledge distillation and architecture optimization. Additionally, it highlights multi-modal data fusion for enhanced target detection accuracy. By bringing together researchers and practitioners, this session aims to foster discussions on translating theoretical advances into real-world image processing systems.

Related topics for this special session (but not limited to) :

• Ultrasound image analysis and AI-aided liver cancer diagnosis
• Deep learning for image super-resolution, restoration, and video compression
• Digital image tampering detection and deepfake forensic techniques
• Lightweight neural network architectures for image recognition
• Edge deployment optimization of computer vision models (e.g., TensorFlow Lite, OpenVINO)
• Multi-modal data fusion strategies for robust target detection
• Medical image segmentation and lesion localization for clinical applications
• Privacy-preserving techniques in multimedia security
• Efficient computation methods for image processing on resource-constrained devices
• Cross-modal feature alignment for medical and industrial imaging tasks

Submission Method

• Please upload your full paper or abstract to Conference Submission System (.pdf), then choose Special Session 1: Bridging Theory and Application: Advanced Image Processing for Medical Diagnosis, Security, and Edge Intelligence to submit.  (请通过会议投稿系统并选择"Special Session 1: Bridging Theory and Application: Advanced Image Processing for Medical Diagnosis, Security, and Edge Intelligence" 入口提交您的全文或摘要投稿) 

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Organizer:

Zhenghong Yu earned his B.S. (2005) and M.S. (2008) in Computer Science from Wuhan Institute of Technology, and Ph.D. (2014) in Control Science and Engineering from Huazhong University of Science and Technology. Currently a Professor at the College of Robotics, Guangdong Polytechnic of Science and Technology, he holds prestigious visiting/affiliated roles: Guest Professor at Thailand’s Mahanakorn Institute of Innovation, China’s Hubei Provincial Laboratory of Intelligent Robot, and South China Agricultural University, plus Distinguished Research Fellow at Fujian Agriculture and Forestry University. His research focuses on computer vision, intelligent robots, and agricultural automation—with standout contributions including leading/participating in over 10 national/provincial projects, publishing 50+ papers (20 SCI-indexed, H-index 14) (e.g., top-tier Engineering Applications of Artificial Intelligence), holding 18 invention patents, and proposing innovative paradigms like PlantBiCNet for agricultural AI. A nationally recognized expert, he was honored with the 2023 Chinese Digital Craftsman of the Year and has guided students to 18 international/national competition awards, while serving as Secretary-General of the International Industry-Education Alliance for Intelligent Robotics and reviewer for journals like IEEE Transactions on Industrial Informatics.