Classification of Brain Hemorrhages in MRI Using Naïve Bayes- Probabilistic Kernel Approach

Author:

Kakhandaki Nita1,Kulkarni Shrinivas B1,Ramesh K. 2,Kulkarni Umakant P1

Affiliation:

1. SDM College of Engg. & Tech., Dharwad, India

2. Karnataka State Women's University, Bijapur, India

Abstract

A brain hemorrhage is one type of stroke, which is caused due to artery burst in the brain, killing the brain cells due to bleeding. Therefore, to reduce the criticality among the patients, for treatment, the doctors depend on accurate reports on the location of hemorrhage. Magnetic resonance imaging (MRI) is one of the best imaging modality when functional and structural abnormalities need to be found. To aid the identification of presence of abnormality, a novel NB-PKC algorithm for effective recognition of brain hemorrhages in MRI is proposed. A series of preprocessing is done, then the image undergoes binary thresholding process for applying an image mask on the hemorrhage region. Then for segmentation a modified multi-level segmenting algorithm is applied, using minimal local binary pattern and GLCM, combined features are extracted and finally for classification a novel Naïve Bayes- Probabilistic Kernel Classification is applied. These techniques designed could accurately identify the position and classified whether the image had an abnormality or not and could reduce human errors.

Publisher

IGI Global

Subject

Information Systems and Management,Strategy and Management,Computer Science Applications,Information Systems

Reference25 articles.

1. Tumor diagnosis in MRI brain image using ACM segmentation and ANN-LM classification techniques.;A.Shenbagarajan;Indian Journal of Science and Technology,2016

2. Brain tumour classification using two‐tier classifier with adaptive segmentation technique

3. Performance Comparison between Naïve Bayes, Decision Tree and k-Nearest Neighbor in Searching Alternative Design in an Energy Simulation Tool

4. Automatic Brain Hemorrhage Segemntation and Classification in CT Scan Images.;H. P.Bahare Shahangian;8th Iranian Conference on Machine Vision and Image Processing,2013

5. Level Set Based Image Segmentation with Multiple Regions

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3