Abstract

In the medical field among all the types of cancers, lung cancer is more serious disease. Detection of lung cancer in the beginning will recover the lifetime of the patient. Using image processing techniques, Computed tomography scan images are very useful to find lung cancer nodule. The image preprocessing methods are feature extraction, image enhancement and image segmentation. Watershed transformation and based on Gabor filter to find lung cancer nodule. This research paper aim is to find more precise results using different segmentation and enhancement techniques.

Details

Title
ROBUST AND AUTOMATED LUNG NODULE DETECTION USING IMAGE PROCESSING TECHNIQUES
Author
Premchander, M; Rao, M Venkateshwara; T V Rajini Kanth
Pages
69-73
Publication year
2018
Publication date
Sep 2018
Publisher
International Journal of Advanced Research in Computer Science
e-ISSN
09765697
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2127539192
Copyright
© Sep 2018. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.