摘要
目的研究决策树算法在医学图像数据挖掘中的应用。方法利用决策树算法对乳腺癌图像数据进行分类,提出了一个基于决策树算法的医学图像分类器。结果实现了ID3和C4.5算法对图像数据的分类,获得了分类的实验结果。结论该模型系统达到了较高的分类准确率,证明数据挖掘在辅助医疗诊断中有着广泛的应用前景。
Aim To study the application of decision tree algorithm for medical image data mining.Methods Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.Results The decision tree algorithm ID3 and C4.5 for medical image data mining are realized,the experiment results are given.Conclusion The experimental results show that the system performs well in accuracy,verifying the great potential of data minging in assistant medical treatment.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第3期262-265,共4页
Journal of Northwest University（Natural Science Edition）
基金
国家自然科学基金资助项目(60372072)
关键词
数据挖掘
决策树
分类
医学图像
data mining
decision tree
classification
medical images
