Detection of lung Cancer on CT Scan Using Image Processing Techniques
This paper represents detection of lung cancer using image processing which is followed by image enhancement using three filters. These filters are Gabor, madian and mean filters. Then, image segmentation is applied using a technique called marker controlled watershed with masking that has advantages over other methods in terms of reducing the time needed for detection. On that ground, this method rejoiced with better quality. Finally, an important stage is made to decide whether the lung is infected with cancer or not this stage is called feature extraction .therefore, results were reached with less human efforts.
R. Nall, MSN, CRNA, ( November 16, 2018),Medicalnewstoday available :https://www.medicalnewstoday.com/articles/323701.php
E. Downward ,(March 2019), How Common Is Lung Cancer?, available :https://lungcancer.net/basics/statistics/
1300 N. 17th Street, Suite 1847 , Digital Imaging and Communications in Medicine (DICOM) , Rosslyn: Virginia 22209 USA , September 6, 2002 , part1 , pp.11.
A.KRISHAN, "Evaluation of Gabor filter parameters for image
enhancement and segmentation", M. S. thesis, Dept. of Electrical and Instrumentation Eng, Tharap univ, Patiala, punjap, 2009.
Z. R. Hussein, R. W. Rahmat, "Pre-processing Importance for Extraction Contours from Noisy Echocardio graphic Images", International Journal of Computer Science and Network Security, Image Processing, vol.9, No.3, March 2009.
M.Singh , P.K.Gupta, V.Tyagi, J.Flusser and T.Oren, ”Advances in Computing and Data Science Part Two”, ICACDS 2018, India :Dehradun, 2018 , p 546.
B. Abdillah,. Bustamam, and D. Sarwinda,"Image Processing Based Detection of lung cancer on CT Scan Images",Faculty of Mathematics and Science, University of Indonesia, December 24,2018.
Mokhled S. AL- TARAWNEH,"Lung Cancer Detection Using Image Processing Techniques", Computer Engineering Department, Faculty of Engineering, Mutah University, . August 2012.