Diagnosis Techniques in Medical Technology using Soft Computing
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 8
Abstract
We have covered and implemented techniques and novel methods for Medical Technology. In this paper we are going through different methodologies of Soft Computing (SC) which are used for these CAD systems. The Methods coming under this are Neural Networks, Fuzzy Logic, and Genetic Programming. In this paper we will first briefly discuss what makes Soft Computing different from traditional Computing. What were the drawbacks of traditional computing which were removed by it. And introduce the three ingredients of Soft Computing and then review the work done by different people using these tools. Our main emphasis is on images used for medical diagnosing. We will review the different algorithms used for studying these medical images. And also discuss positives and negatives faced by these algorithms. In this paper we will try to answer what work has been done in the field of medical image processing using Soft Computing and what is its future. We will discuss how they are contributing to medical imaging for improving the health and well being of people worldwide.
Authors and Affiliations
Parli B. Hari
Keywords
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