期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：423-427
语种：English
出版社：Ayushmaan Technologies
摘要：In the medical field, Image Segmentation is an important and challenging factor. This paper describes tumor detection in medical images using genetic algorithm.In the first phase, the brain image is acquired from patients database in which Image Segmentation method which is typically used to locate objects and boundaries in images is applied. After that clustering is applied and then genetic algorithm is introduced along with various stages. Genetic operation like Selection, Crossover and mutation are performed on this clustered image to produce required results.There are number of approaches to detect the tumor over the brain images but it shows the modification of the genetic algorithm. Initially, Genetics is implemented on complete tumor image, because of this the initial population set is quite large but now the size of the population set for the genetics is reduced. For this reduction at first the clustering is performed. The complete work is divided in two main phases, In first phase, the clustering is been implemented to identify the actual area of the brain image that can have cancer. Once this area is identified, it is used as the population set for the genetics. The genetics is implemented on this area and the tumor detection is performed more effectively.
