{"title":"基于数字几何技术的骨科x射线图像自动分析","authors":"O. Bandyopadhyay, A. Biswas, B. Bhattacharya","doi":"10.5565/REV/ELCVIA.970","DOIUrl":null,"url":null,"abstract":"This thesis reports several methods for automated analysis and interpretation of bone X -ray images. Automatic segmentation of the bone part in a digital X -ray image is a challenging problem because of its low contrast against the surrounding flesh. In this thesis, we propose a fully automated X -ray image segmentation technique, which is based on a variant of entropy measure of the image. We have also analyzed the geometric information embedded in the long-bone contour image to identify the presence of abnormalities in the bone and perform fracture detection, fracture classification, and bone cancer diagnosis.","PeriodicalId":38711,"journal":{"name":"Electronic Letters on Computer Vision and Image Analysis","volume":"6 1","pages":"7-9"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automated Analysis of Orthopaedic X-ray Images based on Digital-Geometric Techniques\",\"authors\":\"O. Bandyopadhyay, A. Biswas, B. Bhattacharya\",\"doi\":\"10.5565/REV/ELCVIA.970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This thesis reports several methods for automated analysis and interpretation of bone X -ray images. Automatic segmentation of the bone part in a digital X -ray image is a challenging problem because of its low contrast against the surrounding flesh. In this thesis, we propose a fully automated X -ray image segmentation technique, which is based on a variant of entropy measure of the image. We have also analyzed the geometric information embedded in the long-bone contour image to identify the presence of abnormalities in the bone and perform fracture detection, fracture classification, and bone cancer diagnosis.\",\"PeriodicalId\":38711,\"journal\":{\"name\":\"Electronic Letters on Computer Vision and Image Analysis\",\"volume\":\"6 1\",\"pages\":\"7-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Letters on Computer Vision and Image Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5565/REV/ELCVIA.970\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Letters on Computer Vision and Image Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5565/REV/ELCVIA.970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
Automated Analysis of Orthopaedic X-ray Images based on Digital-Geometric Techniques
This thesis reports several methods for automated analysis and interpretation of bone X -ray images. Automatic segmentation of the bone part in a digital X -ray image is a challenging problem because of its low contrast against the surrounding flesh. In this thesis, we propose a fully automated X -ray image segmentation technique, which is based on a variant of entropy measure of the image. We have also analyzed the geometric information embedded in the long-bone contour image to identify the presence of abnormalities in the bone and perform fracture detection, fracture classification, and bone cancer diagnosis.