{"title":"基于活动轮廓模型的肺CT图像结节分割","authors":"Yihua Lan, Nan Xu, Xiaopu Ma, Xiao Jia","doi":"10.1109/ihmsc55436.2022.00039","DOIUrl":null,"url":null,"abstract":"Segmentation of pulmonary nodules in computer- aided diagnosis systems is a challenging problem. Currently, a method of image segmentation using an active contour model is already being widely applied in several fields. This paper analyzed the difficulty of segmentation of pulmonary nodules, focusing on an active contour model and an improved model. Then this paper compared and analyzed the advantages and performance of these models. At last some methods used to improve segmentation accuracy of active contour models were summarized.","PeriodicalId":447862,"journal":{"name":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Segmentation of Pulmonary Nodules in Lung CT Images based on Active Contour Model\",\"authors\":\"Yihua Lan, Nan Xu, Xiaopu Ma, Xiao Jia\",\"doi\":\"10.1109/ihmsc55436.2022.00039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Segmentation of pulmonary nodules in computer- aided diagnosis systems is a challenging problem. Currently, a method of image segmentation using an active contour model is already being widely applied in several fields. This paper analyzed the difficulty of segmentation of pulmonary nodules, focusing on an active contour model and an improved model. Then this paper compared and analyzed the advantages and performance of these models. At last some methods used to improve segmentation accuracy of active contour models were summarized.\",\"PeriodicalId\":447862,\"journal\":{\"name\":\"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ihmsc55436.2022.00039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ihmsc55436.2022.00039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Segmentation of Pulmonary Nodules in Lung CT Images based on Active Contour Model
Segmentation of pulmonary nodules in computer- aided diagnosis systems is a challenging problem. Currently, a method of image segmentation using an active contour model is already being widely applied in several fields. This paper analyzed the difficulty of segmentation of pulmonary nodules, focusing on an active contour model and an improved model. Then this paper compared and analyzed the advantages and performance of these models. At last some methods used to improve segmentation accuracy of active contour models were summarized.