期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：27
期号：2
页码：76-79
DOI：10.14445/22312803/IJCTT-V27P113
出版社：Seventh Sense Research Group
摘要：Medical image mining is one of the most rewarding and challenging field of application in data mining and knowledge discovery. Soft computing is a consortium of methodologies that provides flexible information processing capability. Its aim is to exploit the tolerance for imprecision, uncertainty, approximate reasoning, and limited truth in order to achieve tractability, robustness, and lowcost solutions. Soft computing techniques such as fuzzy sets, neural networks, genetic algorithms, and rough sets are most widely applied for image mining. This paper presents a review on various papers on medical image mining using soft computing techniques and related issues were discussed and listed which can be resolved suitably using soft computing techniques.
