Genetic Algorithm and Image Processing for Osteoporosis Diagnosis

被引：9

作者：

Jennane, R. ^{[1
]}

Almhdie-Imjabber, A. ^{[1
]}

Hambli, R. ^{[1
]}

Ucan, O. N. ^{[2
]}

Benhamou, C. L. ^{[3
]}

机构：

[1] Univ Orleans, PRISME Inst, F-45067 Orleans, France

[2] Istanbul Univ, Elect & Elect Engn, Istanbul, Turkey

[3] Reg Hos orleans, INSERM U658 Grp, Orleans, France

来源：

2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年

关键词：

D O I：

10.1109/IEMBS.2010.5626804

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Osteoporosis is considered as a major public health threat. It is characterized by a decrease in the density of bone, decreasing its strength and leading to an increased risk of fracture. In this work, the morphological, topological and mechanical characteristics of 2 populations of arthritic and osteoporotic trabecular bone samples are evaluated using artificial intelligence and recently developed skeletonization algorithms. Results show that genetic algorithms associated with image processing tools can precisely separate the 2 populations.

引用

页码：5597 / 5600

页数：4

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