A Review – Segmentation and Feature Extraction of Bio-Medical Image for the Detection of Lung – Cancer
| Vol-4 | Issue-6 | June 2019 | Published Online: 12 June 2019 PDF ( 199 KB ) | ||
| Author(s) | ||
Paramjit Singh
1;
Pankaj Nanglia
2;
Dr. Aparna N Mahajan
3
|
||
|
1Research Scholar, Department of Electrical Engineering, Maharaja Agrasen University, Himachal Pradesh, (India) 2Assistant Professor, Deptt of Electronics Communication Engineering, Maharaja Agrasen University, Himachal Pradesh, (India) 3Professor, Department of Electronics Communication Engineering, Maharaja Agrasen University, Himachal Pradesh,(India) |
||
| Abstract | ||
Lung cancer is the main reasons of deaths in the world. Early lung cancer identification of increase the possibility of survival among people. The 2- year survival rate for lung cancer patients increase from 18 to 40%. If the lung cancer is identified in time, its early stage detection increases the chance of better treatment. In this Computed Tomography (CT) pictures are utilized which can be more proficient than X-ray. Subsequently, a lung cancer detection by using CT image and detect the sign of cancer. In this study, MATLAB software has been used. The procedures, first image pre-processing, image segmentation and then feature extraction by using SURF technique. to get more efficient results by using various segmentation techniques are performed. |
||
| Keywords | ||
| Image processing, Lung Cancer, SURF, Segmentation, Feature Extraction. | ||
|
Statistics
Article View: 477
|
||
