腰椎x线图像自动分类系统

Soontharee Koompairojn, K. Hua, Chutima Bhadrakom
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引用次数: 15

摘要

现有的基于计算机的椎管狭窄诊断系统不是全自动的。它们的性能取决于用户的知识和经验。这样的系统通常是为放射科医生等专家设计的。我们提出了一个全自动系统,更适合全科医生用于筛查和初步诊断。为了评估所提出的技术的性能,我们构建了一个具有两个环境的系统原型-一个用于管理训练图像和构建分类器,另一个用于实际诊断使用的环境。我们的实验结果,基于可从国家医学图书馆获得的x射线图像数据库NHANES II,表明所提出的系统是有效的筛选目的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Classification System for Lumbar Spine X-ray Images
Existing computer-based spinal stenosis diagnosis systems are not fully automatic. Their performance depends on the knowledge and experience of the user. Such a system is typically intended for specialists such as radiologists. We present in this paper a fully automatic system, more suitable for general practitioners for use in screening and initial diagnosis. To evaluate the performance of the proposed techniques, we build a system prototype with two environments - one for managing training images and building the classifiers, and the other environment for diagnosis use in practice. Our experimental results, based on an X-ray image database NHANES II available from the National Library of Medicine, indicates that the proposed system is effective for screening purposes
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