Special Session: Intelligent Techniques in Cancer Research

Session Chair:

Prof. Raouf Naguib, BIOCORE, Coventry University, UK, r.naguib@coventry.ac.uk This e-mail address is being protected from spambots. You need JavaScript enabled to view it


This Special Session is dedicated to the development of intelligent techniques with their underlying theory and applications in cancer research, including diagnosis, prognosis and patient management. Contributions to theory may include presentation or analysis of the properties of novel Artificial Intelligence, or other, methodologies potentially useful to solve clinical cancer problems. Papers on techniques should describe the development or extension of intelligent methods and their implementation, and discuss the assumptions and limitations of the proposed methods. Application papers should describe the implementation of the intelligent systems to solve significant clinical cancer problems, and should present sufficient information to allow evaluation of the practical benefits of the system.


Include (but is not limited to) the following areas:

  • Machine Learning, Knowledge Discovery and Data Mining
  • Knowledge Acquisition, Representation, Refinement, Validation and Maintenance
  • Medical Computer Vision, Imaging and Signal Interpretation
  • Decision Support Systems, Neural Networks, Fuzzy Systems, Hybrid Systems
  • Uncertain, Temporal, and Case-Based Reasoning
  • Planning and Scheduling
  • Protocols and Guidelines
  • Intelligent Agents
  • Cognitive Modelling