BibTeX:

@article{IJIRSTV4I10038,
     title={Visionary Report of Lung Cancer Detection and Identification},
     author={Ms. J. Maheswari, Ms. Shobha, Ms. R. Sowmiya, Ms. A. Swathi and P. Uma Maheswari},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={10},
     pages={124--127},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I10038.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Nowadays CT-scan image can be more efficient than X-rays.However problems are scaned and merged due to time constraints in detecting the presence of lung cancer, regarding to the several diagnosis methods detection is done. Hereby the lung cancer detecting system is used to classify the presence of lung cancer in a CT image with the way of detecting and identifying the affected part of the lung. Further by collecting various CT-scan images that will be pre-processed, filtered, segmented and finally feature extraction can be discussed at the time of report preparation by producing related videos for the CT-scan images.

X-ray, Segmentation, Data set, Feature Extraction, Video Presentation