基于数字几何技术的骨科x射线图像自动分析

Q4 Computer Science
O. Bandyopadhyay, A. Biswas, B. Bhattacharya
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引用次数: 2

摘要

本文报告了几种自动分析和解释骨X线图像的方法。数字X射线图像中骨骼部分的自动分割是一个具有挑战性的问题,因为它与周围肌肉的对比度很低。在本文中,我们提出了一种基于图像熵测度的全自动X射线图像分割技术。我们还分析了嵌入在长骨轮廓图像中的几何信息,以识别骨骼中是否存在异常,并进行骨折检测、骨折分类和骨癌诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Electronic Letters on Computer Vision and Image Analysis
Electronic Letters on Computer Vision and Image Analysis Computer Science-Computer Vision and Pattern Recognition
CiteScore
2.50
自引率
0.00%
发文量
19
审稿时长
12 weeks
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