TY  - JOUR
T1  - Medical Image Processing Using the Hybrid Genetic Algorithm
AU - Kadhum, Maha Abdul Ameer 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 17
SP  - 7248
EP  - 7252
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.7248.7252
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.7248.7252
KW  - Genetic
KW  -algorithm
KW  -image processing
KW  -artificial
KW  -intelligence
KW  -medical
KW  -images
AB  - In this research, it has been providing some kind of intelligent systems, artificial intelligence and
objective application of Genetic algorithm in the field of medical image processing by using two methods and
comparing this to a decision tree and the way hybrid. Medical images taken usually noise this applied the
principles of image processing to remove noise from images that have been processed in this research and
qualitative assessment of the solution by the function fitness random population and a group of similar
operations in Genetic algorithm through the application of MATLAB Simulation program in two methods
implemented in the search, the efficiency of the Genetic algorithm high by 90% proved valuable identification
of infected sites in medical images used in the search and a time executive compared to a few ways that
segmentation and correlation in medical images.
ER  -