Lung Cancer Detection Using Image Processing


Authors : Purva Joshi , Saurabhi Chalke , Priyanka Dalal , Smriti Viswanath

Volume/Issue : Volume 2 - 2017, Issue 12 - December

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/8gJTdx

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Lung cancer is one of the diseases contributing to the rise in mortality rate in the world and early detection could help increase the chances of survival of the people. Diagnosis of the disease at an initial stage has increased the chance of survival from 14% to 49% over the last five years. Computed Tomography is effective to identify the presence of lung cancer. Coupled with various image processing algorithms, it enables in early diagnosis of this disease. The main aim of this paper is to elaborate on the various image processing techniques such as image enhancement, segmentation and feature extraction used for lung cancer detection. The image processing algorithms were tested using the MATLAB image processing toolbox.

Keywords : Cancer Detection; Image processing; Feature extraction; Enhancement; Watershed; Masking.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe