scholarly journals DEVELOPMENT OF METHODS FOR THE PROCESSING OF MEDICAL IMAGES USING GENETIC ALGORITHMS

2011 ◽  
Author(s):  
Lachezar Lichev
Keyword(s):  
Genetic Algorithms ◽  
Medical Images

Genetic Adaptation of Level Sets Parameters for Medical Imaging Segmentation

2010 ◽  
pp. 150-166
Author(s):  
Dário A.B. Oliveira ◽  
Raul Q. Feitosa ◽  
Mauro M. Correia
Keyword(s):  
Genetic Algorithms ◽  
Medical Imaging ◽  
Computer Tomography ◽  
Level Sets ◽  
Medical Images ◽  
Poor Performance ◽  
Initial Solution ◽  
Genetic Adaptation ◽  
Gaussian Curve ◽  
Measures Of Performance

This chapter presents a method based on level sets to segment organs using computer tomography (CT) medical images. Initially, the organ boundary is manually set in one slice as an initial solution, and then the method automatically segments the organ in all other slices, sequentially. In each step of iteration it fits a Gaussian curve to the organ’s slice histogram to model the speed image in which the level sets propagate. The parameters of our method are estimated using genetic algorithms (GA) and a database of reference segmentations. The method was tested to segment the liver using 20 different exams and five different measures of performance, and the results obtained confirm the potential of the method. The cases in which the method presented a poor performance are also discussed in order to instigate further research.

Quantum and classical genetic algorithms for multilevel segmentation of medical images: A comparative study

2020 ◽  
Vol 162 ◽  
pp. 83-93
Author(s):  
Inès Hilali-Jaghdam ◽  
Anis Ben Ishak ◽  
S. Abdel-Khalek ◽  
Amani Jamal
Keyword(s):  
Genetic Algorithms ◽  
Comparative Study ◽  
Medical Images ◽  
Classical Genetic

Designing texture filters with genetic algorithms: An application to medical images

1997 ◽  
Vol 57 (1) ◽  
pp. 19-33 ◽  
Author(s):  
Konstantinos Delibasis ◽  
Peter E. Undrill ◽  
George G. Cameron
Keyword(s):  
Genetic Algorithms ◽  
Medical Images
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