{"title":"基于图像分割的肺癌MRI图像调查","authors":"S. Perumal, T. Velmurugan","doi":"10.20894/IJDMTA.102.005.002.015","DOIUrl":null,"url":null,"abstract":": Differentiating cancer affected part in lungs and giving proper solution to the problem are toughest job in medical field. Doctors face many problems in correctly spotting up of cancer affected area in lungs. Image processing can be a solvent for this type of issues, especially to identify the cancer affected areas in lungs. Historical data of different types of lung cancer images are collected and image processing methods are carried out for the identification of cancer affected regions in the lungs by the physicians and experts. This research work carried out a survey on the lung cancer data analysis done by various researchers. Also, it suggests the best method and technique applied for the prediction of cancer in the affected parts of lungs.","PeriodicalId":414709,"journal":{"name":"International Journal of Data Mining Techniques and Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Image Segmentation Based Survey on the Lung Cancer MRI Images\",\"authors\":\"S. Perumal, T. Velmurugan\",\"doi\":\"10.20894/IJDMTA.102.005.002.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Differentiating cancer affected part in lungs and giving proper solution to the problem are toughest job in medical field. Doctors face many problems in correctly spotting up of cancer affected area in lungs. Image processing can be a solvent for this type of issues, especially to identify the cancer affected areas in lungs. Historical data of different types of lung cancer images are collected and image processing methods are carried out for the identification of cancer affected regions in the lungs by the physicians and experts. This research work carried out a survey on the lung cancer data analysis done by various researchers. Also, it suggests the best method and technique applied for the prediction of cancer in the affected parts of lungs.\",\"PeriodicalId\":414709,\"journal\":{\"name\":\"International Journal of Data Mining Techniques and Applications\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Data Mining Techniques and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20894/IJDMTA.102.005.002.015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20894/IJDMTA.102.005.002.015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Segmentation Based Survey on the Lung Cancer MRI Images
: Differentiating cancer affected part in lungs and giving proper solution to the problem are toughest job in medical field. Doctors face many problems in correctly spotting up of cancer affected area in lungs. Image processing can be a solvent for this type of issues, especially to identify the cancer affected areas in lungs. Historical data of different types of lung cancer images are collected and image processing methods are carried out for the identification of cancer affected regions in the lungs by the physicians and experts. This research work carried out a survey on the lung cancer data analysis done by various researchers. Also, it suggests the best method and technique applied for the prediction of cancer in the affected parts of lungs.