Nakib A., Talbi El-G. (Eds.) Metaheuristics for Medicine and Biology

Springer-Verlag GmbH, Germany, 2017. — 221 p. — (Studies in Computational Intelligence 704) — ISBN: 3662544261This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers.
To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.Design of Static Metaheuristics for Medical Image Analysis
Multi-level Image Thresholding Based on Hybrid Differential Evolution Algorithm. Application on Medical Images
Fuzzy Edge Detection in Computed Tomography Through Genetic Algorithm Optimization
Particle Swarm Optimization Based Fast Chan-Vese Algorithm for Medical Image Segmentation Evidential Deformable Model for Contour Tracking. Application on Brain Cine MR Sequences
Microscopic Image Segmentation Based on Based Branch and Bound and Game Theory
Dynamic Metaheuristics for Brain Cine-MRI
Lexicographic Approach Based on Evidence Theory for Blood Cell Image Segmentation
Medical Image Denoising Using Metaheuristics
Medical Image Registration Based on Metaheuristics: A Comparative Study
Adaptive ECG Signal Filtering Using Bayesian Based Evolutionary Algorithm