期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：4
页码：5903
DOI：10.15680/IJIRSET.2017.0604207
出版社：S&S Publications
摘要：Image processing is an active research area in which medical image processing is a highly challengingfield. Brain tumor is a serious life altering condition. It is the major cause of death among all other type of cancerduring these days. Properdiagnosis can prevent life of a patient to some extent. Medical imaging techniques are used toimage the inner portion of human body for medical diagnosis.MRI is widely used technique in detecting brain tumor.Image segmentation plays a significant role in image processing as it helps in the extraction of suspicious region frommedical images. Even though many brain tumor segmentation methods and classification methods have been presented,Multiclass classification is still challenging due to complex characteristics of brain tumor, such as high diversity intumor appearance and tumor boundaries. This paper deals with ability of CCL based watershed segmentation to extracttumor and next phase of system deals with multiclass classification of tumor using Artificial Neural Network (ANN)algorithm for MRI images of different patients.
