Lung cancer diagnosis and staging using firefly algorithm fuzzy C-means segmentation and support vector machine classification of lung nodules
by M. Lavanya; P. Muthu Kannan; M. Arivalagan
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 37, No. 2, 2021

Abstract: Lung nodule segmentation is an important division of automated disease screening systems in cancer identification. The morphological variations of lung nodules correspond to chances of cancer. The incorrect detection of these lung nodules because of misclassification leads to false results and incorrect strategies of diagnosis. This misclassification also misdirects pharmaceutical experts for wrong preparation of drugs for diagnosis. There are different methods that are available for detection but there is always a space for improvement in terms of various parameters for better results. Therefore in this work image enhancement is done by histogram equalisation and further noise removal is carried over by anisotropic diffusion filter. The nodule segmentation process is carried over by firefly algorithm fuzzy C-means (FA-FCM) segmentation process. Finally, after feature extraction is done classification of lung cancer staging is carried out using support vector machine (SVM) classifier. Therefore, the nodule is accurately detected considering the morphological changes that are noted for the results which lead to proper medicine preparation and accurate diagnosis of lung nodules.

Online publication date: Wed, 08-Dec-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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:

Username:        Password:          Forgotten your 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