Soft Computing based Medical Image Mining: A Survey
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2015 by IJCTT Journal | ||
| Volume-27 Number-2 |
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| Year of Publication : 2015 | ||
| Authors : Amjad Khan, Zahid Ansari | ||
| DOI : 10.14445/22312803/IJCTT-V27P113 |
Amjad Khan, Zahid Ansari "Soft Computing based Medical Image Mining: A Survey". International Journal of Computer Trends and Technology (IJCTT) V27(2):76-79, September 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
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 low-cost 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.
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Keywords
Soft Computing, Fuzzy Sets, Neural Networks, Image Mining.