Lung cancer diagnosis from CT images using CAD system: a review Online publication date: Mon, 15-Aug-2016
by Ezhil E. Nithila; S.S. Kumar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 21, No. 4, 2016
Abstract: In medical imaging, Computer-Aided Detection (CAD) aims to improve diagnostic decision, detection performance and nodule detection. Computed Tomography (CT) technology allows us to gain isotropic acquisition of complete chest within a single breath hold. Analysis of data becomes time consuming for manual interpretation. Hence, automation of data of the CT images is necessary. Lesions in lung are potential manifestations of lung cancer, and early detection helps to increase the chance of survival rate. This paper focuses the literature on computer analysis of abnormal pulmonary CT. All these work deals with three main steps: pre-processing, segmentation of nodule candidates and nodule classification. In addition, the challenges, limitations and future directions are discussed.
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