Performance analysis of pre-processing filters using computed tomography images for liver lesion diagnosis Online publication date: Wed, 08-Dec-2021
by N. Shanila; R.S. Vinod Kumar; R. Ramya Ravi
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 37, No. 2, 2021
Abstract: In medical research, segmentation can be used in separating different tissues from each other, through extracting and classifying features. This paper aims to discuss the need, concept and advantages of pre-processing techniques normally used for enhancing the scanned images before segmentation. In addition, three pre-processing filters, which are used to remove the artefacts from the scanned images are also implemented and intended to analyse the problems which were developed during the simulation of liver pre-processing methods. Of the three methods, the curvature anisotropic diffusion filters performed better than the other filters and the obtained results are satisfactory. Finally a detailed analysis of parameter selection for curvature anisotropic diffusion filtering in computed tomography images is performed.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Biomedical Engineering and Technology (IJBET):
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 subs@inderscience.com