An adaptive encryption based genetic algorithms for medical images

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.

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Restoration of Medical Images Using Genetic Algorithms

2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) ◽

10.1109/aipr.2017.8457940 ◽

2017 ◽

Cited By ~ 2

Author(s):

Alaa F. Sheta

Keyword(s):

Genetic Algorithms ◽

Medical Images

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Designing Fourier Descriptor-Based Geometric Models for Object Interpretation in Medical Images Using Genetic Algorithms

Computer Vision and Image Understanding ◽

10.1006/cviu.1996.0505 ◽

1997 ◽

Vol 66 (3) ◽

pp. 286-300 ◽

Cited By ~ 17

Author(s):

K Delibasis ◽

P.E Undrill ◽

G.G Cameron

Keyword(s):

Genetic Algorithms ◽

Medical Images ◽

Fourier Descriptor ◽

Geometric Models

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Prediction-Based Reversible Data Hiding for Medical Images with Genetic Algorithms

2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing ◽

10.1109/iih-msp.2013.10 ◽

2013 ◽

Author(s):

Hsiang-Cheh Huang ◽

Ting-Hsuan Wang ◽

Yueh-Hong Chen ◽

Jui-Pin Hung

Keyword(s):

Genetic Algorithms ◽

Data Hiding ◽

Reversible Data Hiding ◽

Medical Images

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

Computer Communications ◽

10.1016/j.comcom.2020.08.010 ◽

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

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Adaptive encryption using pseudo-noise sequences for medical images

2013 Third International Conference on Communications and Information Technology (ICCIT) ◽

10.1109/iccitechnology.2013.6579519 ◽

2013 ◽

Cited By ~ 4

Author(s):

Ahmed B. Mahmood ◽

Robert D. Dony

Keyword(s):

Medical Images ◽

Adaptive Encryption ◽

Pseudo Noise ◽

Noise Sequences

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Fuzzy Neural Networks and Genetic Algorithms for Medical Images Interpretation

Geometric Modeling and Imaging--New Trends (GMAI'06) ◽

10.1109/gmai.2006.20 ◽

2006 ◽

Cited By ~ 6

Author(s):

N. Benamrane ◽

A. Aribi ◽

L. Kraoula

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Medical Images ◽

Fuzzy Neural Networks ◽

Fuzzy Neural

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Robust watermarking and compression for medical images based on genetic algorithms

Information Sciences ◽

10.1016/j.ins.2005.01.013 ◽

2005 ◽

Vol 175 (3) ◽

pp. 200-216 ◽

Cited By ~ 93

Author(s):

F SHIH ◽

Y WU

Keyword(s):

Genetic Algorithms ◽

Medical Images ◽

Robust Watermarking

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

Signal Processing ◽

10.1016/s0165-1684(96)00183-1 ◽

1997 ◽

Vol 57 (1) ◽

pp. 19-33 ◽

Cited By ~ 11

Author(s):

Konstantinos Delibasis ◽

Peter E. Undrill ◽

George G. Cameron

Keyword(s):

Genetic Algorithms ◽

Medical Images

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