Computer-aided abdomen disease diagnosis using curvelet-based texture analysis with progressive classification Online publication date: Mon, 15-Aug-2016
by Gaurav Sethi; Barjinder S. Saini
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 21, No. 4, 2016
Abstract: Designing Computer-Aided Diagnostic (CAD) system for diagnosis diseases of various sizes is a difficult task. The abdomen diseases are of different sizes varying from medium to very small. Most CAD systems fail in classifying abdomen diseases of variable sizes. Hence, a method for classification of abdomen diseases of all sizes in computed tomography (CT) images is presented. The idea is to use features extracted using curvelet transform progressively for the classification of the abdomen diseases that leads to the accurate texture analysis and classification method. Experiments have been performed on 120 CT images of abdomen comprising of 30 images, each of normal tissues, cysts, tumours and stones. Three different sets of query images of variable sizes are used as input to the proposed system. Experimental result shows that the proposed method performs better than the conventional texture analysis and classification methods for diagnosis abdomen diseases of various sizes.
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
Our Blog 
Follow us on Twitter 
Visit us on Facebook