Genetic algorithm and image processing for osteoporosis diagnosis.

R Jennane, A Almhdie-Imjabber,R Hambli,O N Ucan,C L Benhamou

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference（2010）

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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.

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关键词

biomechanics,diseases,artificial intelligence,bone strength,fracture risk,osteoporotic trabecular bone samples,fracture,bone,osteoporosis,genetic algorithm,genetic algorithms,bone density reduction,skeletonization algorithms,patient diagnosis,medical image processing,arthritic bone samples,public health,finite element methods,media,classification algorithms,image processing,support vector machines,feature extraction,artificial intelligent

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