Special Session 4:  Image Processing and Its Application
 
								Signal and image processing techniques are 
								evolving to meet new demands in many 
								applications. The objective of this session is 
								to provide an open and informal atmosphere for 
								discussion in information processing. In this 
								session, researchers will exchange their 
								information in medical imaging to discuss the 
								current state and future of signal and image 
								processing.
 
								Organizer: Prof. 
								Tohru Kamiya, Kyushu Institute of Technology, 
								Japan
								 
								The topics of interest include, but are not 
								limited to:
								Image Processing and Visualization 
								Techniques
								Image Segmentation Algorithms and 
								Optimization
								Image Registration and Deformation Analysis
								Image Reconstruction and Enhancement Methods
								Innovations and Applications of 
								Computer-Aided Diagnosis (CAD) Systems
								Multimodal Medical Image Fusion and Analysis
								Deep Learning-Based Medical Image 
								Classification and Recognition
								Real-Time Processing and Edge Computing in 
								Medical Imaging
								Medical Image Denoising and Quality 
								Improvement Techniques
								3D Medical Image Reconstruction and 
								Visualization
								Anomaly Detection and Disease Prediction in 
								Medical Imaging
								Few-Shot Learning in Medical Image Analysis
								Medical Image Compression and Efficient 
								Storage Solutions
								Explainable AI (XAI) in Medical Imaging
								Advanced Medical Image Processing in 
								Precision Medicine
								Submission Guideline
								Please submit your manuscript via
								
								Electronic Submission System
(account is needed). 
(Please remark the session number when you make the submission.)
								 
								Important Dates
								
									- Submission of Full Papers: 
									September 
									15, 2025
- Notification of Review Result of Papers 
									from Special Sessions:
									September 
									30, 2025
- Registration Deadline: 
									October 
									05, 2025