{"title":"Automatic Spine Vertebra segmentation in CT images using Deep Learning","authors":"P. Wu, Teng-Yi Huang, C. Juan","doi":"10.1109/ISPACS48206.2019.8986367","DOIUrl":null,"url":null,"abstract":"In this study, we aimed to develop a fully automatic segmentation and classification system for spine vertebra regions. We used datasets provided by xVertSeg and trained a SegNet segmentation model. In our preliminary result, this model was able to identify the spine vertebra regions and levels.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"28 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS48206.2019.8986367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, we aimed to develop a fully automatic segmentation and classification system for spine vertebra regions. We used datasets provided by xVertSeg and trained a SegNet segmentation model. In our preliminary result, this model was able to identify the spine vertebra regions and levels.