期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：172-175
出版社：TechScience Publications
摘要：Brain tumor is the extensive antecedent of the bereavement with common people. It is obvious that the probability of endurance can be improved if the tumor is detected and classify properly at its early phase. The segmentation of brain tumors in magnetic resonance images (MRI) is a difficult one since the range of their promising shapes, locations, image intensities. In this paper, it is projected to encapsulate and evaluate the method of mechanical recognition of brain tumor through Magnetic Resonance Image (MRI) with Histogram Thresholding and Artificial Neural Network. The anticipated method can be effectively useful to distinguish the shape of the tumor and its geometrical measurement. Also in this paper, a tailored Artificial Neural Network (ANN) model that is based on learning vector quantization with image and data analysis and exploitation technique is anticipated to carry out a computerized brain tumor classification using MRI-scans. The appraisal of the adapted ANN classifier concert is deliberate in terms of the guidance performance, classification accuracies and computational time. MRI (Magnetic resonance Imaging) brain tumor metaphors detection is a difficult mission due to the inconsistency and Convolution of tumors. This paper present two techniques for the exposure purpose; first one is Histogram Thresholding and another one is Artificial Neural Network technique. The planned Neural Network technique consists of some stages, specifically, feature extraction, dimensionality diminution, recognition, segmentation and organization. In this paper, the purposed scheme is additional precise and effectual for the brain tumor detection and segmentation.
