S. Janardhana, J. Jaya, K. J. Sabareesaan, Jaina George, D. Yokeshwaran
{"title":"基于遗传算法的医学图像可疑区域检测","authors":"S. Janardhana, J. Jaya, K. J. Sabareesaan, Jaina George, D. Yokeshwaran","doi":"10.1109/ICCTET.2013.6675905","DOIUrl":null,"url":null,"abstract":"Medical image analysis and processing has great significance in the field of medicine, especially in non-invasive treatment and clinical study. It helps the doctors to visualize and analyze the image for understand abnormalities in internal structures. This proposed technique consists of four stages. In first stage MRI image is acquired by using MATLAB. In the second stage preprocessing has been done. This pre-processed MRI brain image is normalized and enhanced to achieve computational consistency. In the third stage high frequency noise components are removed by suitable filters. In fourth stage the tumor part has been segmented using effective Genetic Algorithm and the performance analysis has been made.","PeriodicalId":242568,"journal":{"name":"2013 International Conference on Current Trends in Engineering and Technology (ICCTET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Detection of suspicious region in medical images by Genetic Algorithm\",\"authors\":\"S. Janardhana, J. Jaya, K. J. Sabareesaan, Jaina George, D. Yokeshwaran\",\"doi\":\"10.1109/ICCTET.2013.6675905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Medical image analysis and processing has great significance in the field of medicine, especially in non-invasive treatment and clinical study. It helps the doctors to visualize and analyze the image for understand abnormalities in internal structures. This proposed technique consists of four stages. In first stage MRI image is acquired by using MATLAB. In the second stage preprocessing has been done. This pre-processed MRI brain image is normalized and enhanced to achieve computational consistency. In the third stage high frequency noise components are removed by suitable filters. In fourth stage the tumor part has been segmented using effective Genetic Algorithm and the performance analysis has been made.\",\"PeriodicalId\":242568,\"journal\":{\"name\":\"2013 International Conference on Current Trends in Engineering and Technology (ICCTET)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Current Trends in Engineering and Technology (ICCTET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCTET.2013.6675905\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Current Trends in Engineering and Technology (ICCTET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTET.2013.6675905","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of suspicious region in medical images by Genetic Algorithm
Medical image analysis and processing has great significance in the field of medicine, especially in non-invasive treatment and clinical study. It helps the doctors to visualize and analyze the image for understand abnormalities in internal structures. This proposed technique consists of four stages. In first stage MRI image is acquired by using MATLAB. In the second stage preprocessing has been done. This pre-processed MRI brain image is normalized and enhanced to achieve computational consistency. In the third stage high frequency noise components are removed by suitable filters. In fourth stage the tumor part has been segmented using effective Genetic Algorithm and the performance analysis has been made.