• DocumentCode
    3702009
  • Title

    Computer aided lung cancer detection system

  • Author

    Sruthi Ignatious;Robin Joseph

  • Author_Institution
    Dept. of Computer Science and Engineering Mar Baselios college of Engineering and Technology, Trivandrum, India
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    555
  • Lastpage
    558
  • Abstract
    Lung cancer is one of the most common types of cancer all over the world. The main cause of lung cancer is smoking. Accurate detection of lung cancer can increase the survival rate from cancer. A good lung cancer detection system will detect the tumor accurately. Computed Tomography (CT) images are usually used for detecting the cancer. The different stages in a Computer Aided Lung cancer detection system are Enhancement, Segmentation and Feature extraction. There are different techniques for performing these stages. These different techniques have been explained in detail.
  • Keywords
    "Lungs","Image segmentation","Cancer","Feature extraction","Cancer detection","Computed tomography","Gabor filters"
  • Publisher
    ieee
  • Conference_Titel
    Communication Technologies (GCCT), 2015 Global Conference on
  • Type

    conf

  • DOI
    10.1109/GCCT.2015.7342723
  • Filename
    7342723