Feature Extraction and Classification Techniques for the Detection of Lung Cancer: A Detailed Survey

摘要

Lung cancer is most life-threatening disease, treatment of which must be the primary goal throughout scientific research. The early recognition of cancer can be helpful in curing disease entirely. There are numerous techniques found in literature for detection of lung cancer. Several investigators have contributed their facts for cancer prediction. These papers largely pact about prevailing lung cancer detection techniques that are obtainable in the literature. A numeral of methodologies has been originated in cancer detection methodologies to progress the efficiency of their detection. Diverse applications like as support vector machines, neural networks, image processing techniques are extensively used in for cancer detection which is elaborated in this work.