{"title":"基于边界盒的脑MRI随机行走和活动轮廓自动分割脑肿瘤","authors":"P. S. Juhi, S. Sushanth Kumar","doi":"10.1109/ICCICCT.2014.6993050","DOIUrl":null,"url":null,"abstract":"This paper reveals a computer aided system aimed at automatically segmenting brain tumors from MRI images is proposed, using bounding box-Active contour and Random walker algorithm. This method performs fast and accurate segmentation results by segmenting the most dissimilar regions of a tumor image. This paper overviews the benefits of automatic segmentation than the manual segmentation algorithms and we are proving that this algorithm is better than most of the segmentation.","PeriodicalId":6615,"journal":{"name":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","volume":"84 1","pages":"700-704"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Bounding box based automatic segmentation of brain tumors using random walker and active contours from brain MRI\",\"authors\":\"P. S. Juhi, S. Sushanth Kumar\",\"doi\":\"10.1109/ICCICCT.2014.6993050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reveals a computer aided system aimed at automatically segmenting brain tumors from MRI images is proposed, using bounding box-Active contour and Random walker algorithm. This method performs fast and accurate segmentation results by segmenting the most dissimilar regions of a tumor image. This paper overviews the benefits of automatic segmentation than the manual segmentation algorithms and we are proving that this algorithm is better than most of the segmentation.\",\"PeriodicalId\":6615,\"journal\":{\"name\":\"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)\",\"volume\":\"84 1\",\"pages\":\"700-704\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCICCT.2014.6993050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICCT.2014.6993050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bounding box based automatic segmentation of brain tumors using random walker and active contours from brain MRI
This paper reveals a computer aided system aimed at automatically segmenting brain tumors from MRI images is proposed, using bounding box-Active contour and Random walker algorithm. This method performs fast and accurate segmentation results by segmenting the most dissimilar regions of a tumor image. This paper overviews the benefits of automatic segmentation than the manual segmentation algorithms and we are proving that this algorithm is better than most of the segmentation.