ABSTRACT
Lung cancer prevalence is one of the highest of cancers. One of the first steps in lung cancer diagnosis is sampling of lung images. These tissue samples are then analyzed. This procedure is taken once imaging tests indicate the presence of cancer cells in the chest. Lung cancer diagnosis using lung images. One of them is that doctor still relies on subjective visual observation. A medical specialist must do thorough observation and accurate analysis in detecting lung cancer in patients. Hence, there is need for a system that is capable for detecting lung cancer automatically from ct images of lungs. This method will improve the accuracy and efficiency for lung cancer detection. The aim of this research is to design a lung cancer detection system based on analysis of ct image of lung using digital image processing. CT images of lung are feature extracted and classified. Neural Network method is implemented here to detection of lung cancer of lung samples. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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