TUMOR DETECTION IN BRAIN USING GENETIC ALGORITHM

被引:36
作者
Chandra, G. Rajesh [1 ]
Rao, Kolasani Ramchand H. [2 ]
机构
[1] Acharya Nagarjuna Univ, Dept Comp Sci, Guntur 522006, India
[2] ASS Degree Coll Tenali, Dept Comp Sci, Guntur, Andhra Pradesh, India
来源
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING AND VIRTUALIZATION (ICCCV) 2016 | 2016年 / 79卷
关键词
Brain Tumor; GA; Image Segmentation; SEGMENTATION;
D O I
10.1016/j.procs.2016.03.058
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Detection of brain tumour is very common fatality in current scenario of health care society. Image segmentation is used to extract the abnormal tumour portion in brain. Brain tumor is an abnormal mass of tissue in which cells grow and multiply uncontrollably, apparently unregulated by mechanisms that control cells. Several techniques have been developed for detection of tumor in brain. Our main concentration is on the techniques which use image segmentation to detect brain tumor. Tumor classification and segmentation from brain computed tomography image data is an important but time consuming task performed by medical experts. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:/icreativecommons. orgl icensesiby-nc-ndi4.0/). Peer-review under responsibility of the Organizing Committee of ICCCV 2016
引用
收藏
页码:449 / 457
页数:9
相关论文
共 6 条