special issue_JIFS_15: Special issue proposal on Artificial Intelligent techniques applied for the Study of Biomedical Imaging Systems Applications |
Website | http://www.iospress.nl/journal/journal-of-intelligent-fuzzy-systems/ |
Submission link | https://easychair.org/conferences/?conf=specialissue-jifs-15 |
Abstract registration deadline | August 10, 2017 |
Submission deadline | August 15, 2017 |
Special issue proposal on Artificial Intelligent techniques applied for the Study of Biomedical Imaging Systems Applications
Artificial Intelligence techniques are being used by the engineering, academia and industry to solve a wide range of previously tractable and intractable problems . AI techniques are mostly hybrid in nature which includes Artificial Neural Networks (ANN), Fuzzy theory, Evolutionary algorithms, etc. Though most of the techniques are theoretically sound, the applicability of these techniques is not fully explored for practical applications. Many of the computational applications still depend on Non-AI systems which limit their practical usage. Therefore, new artificial intelligence methods are required to handle these issues significantly and holistically. The artificial intelligence methods are generic, flexible, robust, and versatile framework for solving complex problems for the global problems in biomedical imaging system applications.
Image processing has emerged as an essential technology for improving the quality of medical diagnosis and treatments of many illnesses as well as many neurological and psychological disorders. Biomedical imaging system needs continuous enhancements in terms of techniques and applications to help improve quality of services in health care industry. The techniques used for interpolation, image registration, compression, medical diagnosis are to be improved to be abreast with growing demands in the industry.
The scope of this special issue includes, but not limited
- Neuroscience image computing
- Imaging genetics
- Medical data mining
- Machine learning, knowledge discovery, and data mining
- Artificial neural networks, expert systems, fuzzy logic, and systems
- Genetic algorithms and programming
- Biological learning control systems
- Biomedical signal and image processing
- Deep learning for recognition
- Evolutionary computation in control
- Intelligent control-based on neuro-fuzzy models
- Soft computing method for signal processing
- Swarm intelligence, learning and control
- Medical image computing
- Image and pattern representation and modeling
Guest Editors:
Dr.M.Sundhararajan, Dean –Research, Bharath University, Chennai. { msrajan69@yahoo.com, deanresearch@bharathuniv.ac.in }
Dr.Xiao-Zhi Gao, Professor, Department of Electrical engineering, Aalto University, Finland.
{Email :xiao.z.gao@gmail.com}
Dr. Hamed Vahdat-Nejad, Professor, Computer Engineering and Information Technology Department, University of Birjand, Birjand, IRAN.{Email : : vahdat.nejad@gmail.com, vahdatnejad@birjand.ac.ir}