国际医学寄生虫病杂志
國際醫學寄生蟲病雜誌
국제의학기생충병잡지
INTERNATIONAL JOURNAL OF MEDICAL PARASITIC DISEASES
2012年
3期
174-177
,共4页
数据挖掘%关联分类算法%医学图像
數據挖掘%關聯分類算法%醫學圖像
수거알굴%관련분류산법%의학도상
Data mining%Classification algorithm based on association rule%Medical images
目的 利用关联分类算法,构造医学图像分类器,对未知类型的脑肿瘤图像进行自动判别和分类,以帮助临床医生进行脑疾病的诊断和治疗.方法 对医学图像经过预处理后进行特征提取,再将提取的特征离散化后放到事务数据库中作为关联分类规则的输入,然后利用改进的Apriori算法构造医学图像分类器.结果 构造了医学图像分类器,用已知类型的图像训练分类器挖掘满足约束条件的关联规则,然后利用发现的关联规则对未知类型的医学图像进行分类以判断脑肿瘤的良恶性.结论 利用关联分类算法可以有效地挖掘医学图像特征,进而构造图像分类器,实现脑肿瘤良恶性的自动判别.
目的 利用關聯分類算法,構造醫學圖像分類器,對未知類型的腦腫瘤圖像進行自動判彆和分類,以幫助臨床醫生進行腦疾病的診斷和治療.方法 對醫學圖像經過預處理後進行特徵提取,再將提取的特徵離散化後放到事務數據庫中作為關聯分類規則的輸入,然後利用改進的Apriori算法構造醫學圖像分類器.結果 構造瞭醫學圖像分類器,用已知類型的圖像訓練分類器挖掘滿足約束條件的關聯規則,然後利用髮現的關聯規則對未知類型的醫學圖像進行分類以判斷腦腫瘤的良噁性.結論 利用關聯分類算法可以有效地挖掘醫學圖像特徵,進而構造圖像分類器,實現腦腫瘤良噁性的自動判彆.
목적 이용관련분류산법,구조의학도상분류기,대미지류형적뇌종류도상진행자동판별화분류,이방조림상의생진행뇌질병적진단화치료.방법 대의학도상경과예처리후진행특정제취,재장제취적특정리산화후방도사무수거고중작위관련분류규칙적수입,연후이용개진적Apriori산법구조의학도상분류기.결과 구조료의학도상분류기,용이지류형적도상훈련분류기알굴만족약속조건적관련규칙,연후이용발현적관련규칙대미지류형적의학도상진행분류이판단뇌종류적량악성.결론 이용관련분류산법가이유효지알굴의학도상특정,진이구조도상분류기,실현뇌종류량악성적자동판별.
Objective In order to assist clinicians in diagnosis and treatment of brain disease,a classifier for medical images which contains tumora inside,based on association rule data mining techniques was constructed.Methtoods After a pre-processing phase of the medical images,the related features from those images were extracted and discretized as the input of association rule,then the medical images classifier was constructed by improved Apriori algorithm.Results The medical images classifier was constructed.The known type of medical images was utilized to train the classifier so as to mine the association rules that satisfy the constraint conditions.Then the brain tumor in an unknown type of medical image was classified by the classifier constructed.Conclusion Classification algorithm based on association rule can be effectively used in mining image features,and constructing an image classifier to identify benign or malignant tumors.
