arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新，休息一下吧，周末愉快~~
arXiv 1601.07533cs.CVq-bio.TO
收藏

纵向CT的骨质疏松性和肿瘤性压缩骨折分类

Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health（美国国立卫生研究院临床中心放射与影像科学系影像生物标志物与计算机辅助诊断实验室）；Department of Radiological Sciences, University of California-Irvine, School of Medicine（加州大学尔湾分校医学院放射科学系）

Yinong Wang, Jianhua Yao, Joseph E. Burns, Ronald M. Summers

备注：
Contributed 4-Page Paper to be presented at the 2016 IEEE International Symposium on Biomedical Imaging (ISBI), April 13-16, 2016, Prague, Czech Republic
阅读 PDF
arXiv 页面 ↗HTML 原文 ↗

摘要：

椎体压缩性骨折（VCF）的分类是治疗计划的基础。我们开发了一个骨折分类系统，通过使用纵向研究的自动测量，获得骨折进展的定量形态学和骨密度决定因素。总共获得了250个CT研究的任务，每一个先前确定的VCF与骨质疏松症或肿瘤。三十六个功能或每个识别的VCF计算和分类使用委员会的支持向量机。10倍交叉验证695确定骨折椎骨的分类精度分别为0.812，0.665和0.820的测量，纵向和组合功能集。

英文摘要：

Classification of vertebral compression fractures (VCF) having osteoporotic or neoplastic origin is fundamental to the planning of treatment. We developed a fracture classification system by acquiring quantitative morphologic and bone density determinants of fracture progression through the use of automated measurements from longitudinal studies. A total of 250 CT studies were acquired for the task, each having previously identified VCFs with osteoporosis or neoplasm. Thirty-six features or each identified VCF were computed and classified using a committee of support vector machines. Ten-fold cross validation on 695 identified fractured vertebrae showed classification accuracies of 0.812, 0.665, and 0.820 for the measured, longitudinal, and combined feature sets respectively.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

↑