Aiming at the particularity of MRI images, the ARC algorithm which is suitable for medical image processing is present. The new method introduces the bi-support association rules based on FP-tree. In the process of generating the rule of association class and constructing the FP-tree, the maximum support is introduced on the premise of minimal support. It can make the support of discovered rules be between the maximum support and minimal support. so through the bi-support, the interference in the rules is excluded. Experiments shows that this ARC method could achieve better results in practice than CMAR in the operational efficiency and classification accuracy. It is very effective in CWMD digital image classification.
基金：
Thanks for the support of Hebei Province Key project of
medical science research (No. 20150480).
语种：
外文
被引次数：
WOS：
第一作者：
第一作者机构：[1]Affiliated Hosp Hebei Univ, Baoding 071001, Hebei, Peoples R China
通讯作者：
推荐引用方式(GB/T 7714)：
Wang yu,Sun Dongming.Premature Brain Damage Image Classification Algorithm Based On Association Rules[J].2016 11TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE).2016,788-791.doi:10.1109/ICCSE.2016.7581682.
APA：
Wang yu&Sun Dongming.(2016).Premature Brain Damage Image Classification Algorithm Based On Association Rules.2016 11TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE),,
MLA：
Wang yu,et al."Premature Brain Damage Image Classification Algorithm Based On Association Rules".2016 11TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE) .(2016):788-791
