Computational Intelligence in Biomedicine and Bioinformatics Current Trends and Applications

The purpose of this book is to provide an overview of powerful state-of-the-art methodologies that are currently utilized for biomedicine and/ or bioinformatics-oriented applications, so that researchers working in those fields could learn of new methods to help them tackle their problems. On the ot...

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Corporate Author: SpringerLink (Online service)
Other Authors: Smolinski, Tomasz G. (Editor), Milanova, Mariofanna G. (Editor), Hassanien, Aboul-Ella (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Series:Studies in Computational Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Reviews, Perspectives, and Challenges
  • Data Mining and Genetic Algorithms: Finding Hidden Meaning in Biological and Biomedical Data
  • The Use of Rough Sets as a Data Mining Tool for Experimental Bio-data
  • Integrating Local and Personalised Modelling with Global Ontology Knowledge Bases for Biomedical and Bioinformatics Decision Support
  • Computational Intelligence in Biomedicine
  • Data-Mining of Time-Domain Features from Neural Extracellular Field Data
  • Analysis of Spectral Data in Clinical Proteomics by Use of Learning Vector Quantizers
  • Computational Intelligence Techniques in Image Segmentation for Cytopathology
  • Curvature Flow Based 3D Surface Evolution Model for Polyp Detection and Visualization in CT Colonography
  • Assisting Cancer Diagnosis with Fuzzy Neural Networks
  • Computational Intelligence in Clinical Oncology: Lessons Learned from an Analysis of a Clinical Stud