Detection of Lung Cancer using Sputum Image Segmentation
| Author(s) | : | Dharmesh A Sarvaiya1 ,, Prof. Mehul Barot |
| Institution | : | Department of Computer Engineering, L.D.R.P Institute of Technology & Research, KSV University, Gandhinagar |
| Published In | : | Vol. 1, Issue 6 — June 2014 |
| Page No. | : | 13-21 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Lung cancer is acknowledged to be the fundamental driver of disease passing worldwide,and it is difficult to detect in its early stages because symptoms appear only in the advanced stagescausing the mortality rate to be the highest among all other types of cancer. The early detection ofcancer can be helpful in curing disease completely. This research paper summarizes various reviewsand technical articles on Lung cancer detection using the data mining techniques to enhance the Lungcancer diagnosis and prognosis and also deals with K Means image segmentation technique inMATLAB. With the help of different aspects of Nuclei of sputum images, such as size, shape, andarea , Lung cancer can be detected by it. This report includes the survey of different techniques suchas threshold classifier, a Bayesian classification , Fuzzy C Means and propose a method which usesthe concept of k means algorithm. K Means algorithm is used to segment the sputum image intoNuclei, Cytoplasm and Debris Cells.
Dharmesh A Sarvaiya1 ,, Prof. Mehul Barot, “Detection of Lung Cancer using Sputum Image Segmentation”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 6, pp. 13-21, June 2014.
