Using Various Processing Methods to Identify Lung Cancer

Lung cancer has become the leading killer of humans stricken with invasive cancer, affecting husbands to wives, friends to neighbors as it is air bourne and causing suffering for many families. Early detection of cancer is one of the important step in treat the decease. According to author prevention is better than cure, basede on that image processing methods are widely used in recent times, for earlier detection and treatment stages. The objective of this work is study of lung cancer images that are collected form different hospitals where the treatment is going on and focuses on early stage lung cancer detection. Lung cancer is prominent cancer that states large number of deaths of more than a million in every year. It makes sense that need of detecting the lung lymph nodule at early stage in computer tomography medical images to detect the occurrence of cancer at early stages, the requirement of procedures, methods and techniques are increasing. There are number of methods and techniques available but none of them provide a better accuracy of detection. One of the techniques is content based image retrieval computer aided diagnosis system (CAD) for early detection of lung nodules from the chest computer tomography (CT) images. The optimization of algorithm allows doctors to identify the lumps present in the CT lung images in the early stage