Implementation of biologically motivated optimisation approach for tumour categorisation Online publication date: Tue, 20-Mar-2018
by Sushruta Mishra; Hrudaya Kumar Tripathy; Brojo Kishore Mishra
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 10, No. 3, 2018
Abstract: Tumour prediction and classification is regarded as a complex task that needs attention. Moreover, medical experts lack expertise in this section. Hence, an intelligent clinical system model is the time of the hour. Recently, biologically motivated techniques are emerging to be an efficient computing method to solve imprecise and complex problems. Nature forms an immense source of motivation in finding solutions to sophisticated problems IT sector since it is highly robust and dynamic. The result obtained is highly optimised and balanced solution. This is the basic idea of such nature motivated techniques. In our research, we have analysed and implemented some important bio-inspired optimisation techniques to categorise different kinds of tumour. Multilayer perceptron is the classifier used in the process. We have later evaluated our results with some critical metrics like RMSE, Kappa coefficient, accuracy and many others to determine the effectiveness of our system model developed. It is observed that using bio-inspired computation approach enhances the efficiency of tumour classification. The results are depicted in this paper.
Online publication date: Tue, 20-Mar-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Aided Engineering and Technology (IJCAET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com