H. R. Vanamala, Deeksha Nandur, C. Ashutosh, F. Glavan, M. Ganesh
{"title":"Texture Analysis of Brain Mr Images","authors":"H. R. Vanamala, Deeksha Nandur, C. Ashutosh, F. Glavan, M. Ganesh","doi":"10.1109/ICAECC.2018.8479530","DOIUrl":null,"url":null,"abstract":"This proposed work is the method to perform texture analysis of human brain MR image and to provide a method for decision making using MATLAB tool in medical field. Hospitals throughout the world are witnessing huge volumes of digital medical images and associated clinical data on a daily basis. The number of people available in the hospitals to analyze and take decisions are very less when compared to images that need to be analyzed by these experts and hence automation of this process is necessary. We have implemented a system for automatic segmentation and extraction of different texture features of human brain images. SVM is used for classification and K-fold validation is performed.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC.2018.8479530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This proposed work is the method to perform texture analysis of human brain MR image and to provide a method for decision making using MATLAB tool in medical field. Hospitals throughout the world are witnessing huge volumes of digital medical images and associated clinical data on a daily basis. The number of people available in the hospitals to analyze and take decisions are very less when compared to images that need to be analyzed by these experts and hence automation of this process is necessary. We have implemented a system for automatic segmentation and extraction of different texture features of human brain images. SVM is used for classification and K-fold validation is performed.
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