FUZZ-IEEE-Special Session: Medical Image Analysis based Computational Intelligence Techniques

Medical Image Analysis based Computational Intelligence Techniques


FUZZ-IEEE-Special Session:  Medical Image Analysis based Computational Intelligence Techniques

Special Session Organizers:

Nilanjan Dey, INDIA

Amira S. Ashour, KSA

Dana Balas Timar, ROMANIA

Valentina Emilia Balas, ROMANIA

Aim and Scope:
Recently, the researchers’ intensive focus is attracted to medical image analysis studies. Neural network applications in computer-aided diagnosis (CAD) signify the foremost stream of computational intelligence in medical imaging. Moreover, neural networks are capable to optimize the inputs/ outputs relationship via distributed computing, training, and processing. This leads to reliable desired solutions by specifications, and medical diagnosis.
In the medical domain, the relation between accurate diagnosis and treatment can be assessed. Through medical imaging modalities physicians are able to collect/ measure information in the form of signals and/ or images that replicate the anatomical structure as well as the human body function. This field takes compensation of computer progress. In sake of effective diagnosis, computer aided systems become a must to construe and combine the acquired images for the purpose of diagnosis and intervention.
In spite of the success achieved by neural network in the medical domain, constructing multilayer neural networks includes challenging optimization problems.
This session focuses on computational intelligence with neural networks covering medical image segmentation, registration, and edge detection for medical image analysis. In addition, computer-aided detection/ diagnosis with precise coverage on cancer screening, and other applications gives a global view on the variety of neural network applications and their potential for further research and developments.
Consequently, this special session is designed to allow the researchers, designers and developers to publish innovative and state-of-the art algorithms and architectures for medical image analysis based neural network with computational computing techniques.
The aim of this special session is to explore the existing neural network with computational intelligence to develop new efficient algorithms, to discussion of the existing problems/ challenges, and to propose solutions, and to collaborate for promising future research direction in the medical domain analysis based computational computing and machine learning.


  • Fuzzy logic and Neural networks in diagnosis in medicine
  • Fuzzy logic, Neural Networks/ Machine Learning in medicine- Theory and Application
  • Medical imaging modalities
  • Medical image and signal analysis
  • Visualization techniques
  • Segmentation and classification of medical images
  • Computer aided diagnosis (CAD) systems
  • Theoretical analysis of Neural Networks
  • Supervised learning and Unsupervised learning
  • Semi-supervised learning
  • Evolutionary Computation/ genetic algorithms in Neural Networks
  • Computational Intelligence in medicine
  • Classification using non-standard metrics
  • Machine learning methods in cancer
  • Computational Intelligence in Biomedicine
  • Recent developments in classification/clustering algorithms
  • Empirical analysis of Computational Intelligence algorithms for medical image analysis
  • Novel trends for medical image analysis based neural network with computational intelligence.

Nilanjan Dey is an Asst. Professor in the Department of Information Technology in Techno India College of Technology, Rajarhat, Kolkata, INDIA. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization-of-gientifig and Engineering Unions, BULGARIA. He is the Managing Editor of International Journal of Image Mining (IJIM), Inderscience, Regional Editor-Asia of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience and Associated Editor of International Journal of Service Science, Management, Engineering, and Technology, IGI Global. His research interests include: Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Mathematical Modeling and Computer Simulation, Modeling of Biomedical Systems, Robotics and Systems, Information Hiding, Security, Computer Aided Diagnosis, Atherosclerosis. He has 8 books and 150 international conferences and journal papers. He is a life member of IE, UACEE, IS

Amira S. Ashour is Assistant Professor and Vice Chair of Computers Engineering Department, Computers and Information Technology College, Taif University, KSA. She was the vice chair of Computer Science department, CIT college, Taif University, KSA, for 5 years. She is a Lecturer of Electronics and Electrical Communications Engineering, Faculty of Engg., Tanta University, Egypt. She received her PhD in Smart Antenna (2005) in the Electronics and Electrical Communications Engineering, Tanta University, Egypt. She had her Masters in Enhancement of Electromagnetic Non-Destructive Evaluation Performance using Advanced Signal Processing Techniques in Faculty of Engineering, Egypt, 2000. Her research interests include: image processing, medical imaging, smart antenna and adaptive antenna arrays.

 Dana Balas-Timar, PhD. student (final stage – Human resources management with fuzzy logic, coord. Prof. dr. Mircea Miclea), is Asst. Professor in the Faculty of Educational Sciences, Psychology and Social Sciences at Aurel Vlaicu University of Arad, Romania. She holds a double specialization in Psychology and Automation and Applied Informatics. She was a Visiting Professor at Instituto Superior Miguel Torga in Coimbra, Portugal and research scientist in more than 9 European Union funded projects. She is member in the editorial review board of Agora and International Journal of Rough Sets and Data Analysis. Her research interests include: Cognitive Science, Organizational Psychology, Multiple Criteria Decision Making, Fuzzy logic, Nonlinear Dynamics, etc. She is author of 7 books and 40 international conferences and journal papers. She is a member of IANLP, IACAT, IAENG and APA.

Valentina E. Balas is currently Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad, ROMANIA. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara since 2003. She is author of more than 170 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP), member in Editorial Boards for national and international journals, serves as reviewer for many International Journals and conferences and is evaluator expert for national and international projects. She was participated in many international conferences as General Chair, Organizer, Session Chair and member in International Program Committee. She was mentor for many student teams in Microsoft (Imagine Cup), Google and IEEE competitions in the last six years. She has a great experience in research projects. She is member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Emergent Technologies (IEEE CIS) and member in TC – Soft Computing (IEEE SMCS). Dr. Balas is Vice-president (Awards) of IFSA International Fuzzy Systems Association Council and Join Secretary of Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), Multidisciplinary Academic Body, INDIA. She is a Senior Member of IEEE.