• S.Gajalaxmi
• Megha Nayak

A Lung CT image segmentation is a prerequisite in lung CT image analysis. Most of the conventional method need a post-processing to deal with the abnormal lung CT scans. Computer aided diagnostic process has already become a vital part of clinical routine, among a rush of recent development of technology and use of varied imaging modalities. CT image square measure a lot of detail than plain image In this thesis, a lung cancer detection system is proposed using minimum cut/Max-Flow algorithm for segmentation of lung region, this segmented image is then fed to convolution neural network to detect if cancer is present.

Computer Tomography, Convolution Neural Network, Graph cut Segmentation, Lung cancer.

"Lung Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.64-68, June 2019, Available :http://www.jetir.org/papers/JETIR1906O11.pdf

"Lung Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp64-68, June 2019, Available at : http://www.jetir.org/papers/JETIR1906O11.pdf