{"title":"医学影像软计算技术的有效性","authors":"Anamika Ahirwar, R. S. Jadon","doi":"10.1109/CICN.2013.76","DOIUrl":null,"url":null,"abstract":"Segmentation of anatomical regions of the medical imaging is a critical problem. In this paper, we propose effectiveness of soft computing techniques for segmenting medical imaging. This paper explores the possibility of applying techniques for segmenting the regions of medical image. We them compute the effectiveness of the applied techniques on medical imaging and compare their results from the database given on the web. We tested the results to calculate the effectiveness of the techniques used for segmenting the tumor region in brain images and digital mammogram images.","PeriodicalId":415274,"journal":{"name":"2013 5th International Conference on Computational Intelligence and Communication Networks","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Effectiveness of Soft Computing Techniques for Medical Imaging\",\"authors\":\"Anamika Ahirwar, R. S. Jadon\",\"doi\":\"10.1109/CICN.2013.76\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Segmentation of anatomical regions of the medical imaging is a critical problem. In this paper, we propose effectiveness of soft computing techniques for segmenting medical imaging. This paper explores the possibility of applying techniques for segmenting the regions of medical image. We them compute the effectiveness of the applied techniques on medical imaging and compare their results from the database given on the web. We tested the results to calculate the effectiveness of the techniques used for segmenting the tumor region in brain images and digital mammogram images.\",\"PeriodicalId\":415274,\"journal\":{\"name\":\"2013 5th International Conference on Computational Intelligence and Communication Networks\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Computational Intelligence and Communication Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2013.76\",\"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 5th International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2013.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effectiveness of Soft Computing Techniques for Medical Imaging
Segmentation of anatomical regions of the medical imaging is a critical problem. In this paper, we propose effectiveness of soft computing techniques for segmenting medical imaging. This paper explores the possibility of applying techniques for segmenting the regions of medical image. We them compute the effectiveness of the applied techniques on medical imaging and compare their results from the database given on the web. We tested the results to calculate the effectiveness of the techniques used for segmenting the tumor region in brain images and digital mammogram images.