{"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}
引用次数: 2
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.