Analysis of Lung Nodule and Classification based on SVM Classifier and Fuzzy C-Means Clustering for Effective Segmentation

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 8

Published

March 2016

Access

Open Access

Licence

CC BY-NC-SA 4.0

Smriti kushwaha P.Maya

Lung cancer is the most type of cancer among all the cancer with less survival rate. It is very difficult to analyze the cancer at its early stage. In this paper, using computed tomography CT images. we proposed a classification method for the four types of lung nodules, i.e., well-circumscribed, vascular-ized, juxta-pleural and pleural-tail using SVM classifier and fuzzy C-means clustering analysis for segmentation and feature extraction with the help of DWT and MWT transform and LBP for the detection of cancerous cells.

Smriti kushwaha, P.Maya (2016). Analysis of Lung Nodule and Classification based on SVM Classifier and Fuzzy C-Means Clustering for Effective Segmentation. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 8. ISSN: 2319-4863.

Copy Citation

Full references are available in the PDF version of this paper.

Download Full Paper (PDF) →

Downloads

Full Text Access

Full Paper

PDF Download

Abstract PDF

PDF Download

Article Info

LinkedIn Twitter / X WhatsApp