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. This procedure is taken once imaging tests indicate the presence of cancer cells in the chest. Lung cancer diagnosis in lung images using Convolutional Neural Network (CNN). 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 lung images. 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 lung image using digital image processing. Lung images are feature extracted and classified for detecting lung cancer using Convolutional Neural Network (CNN).
PROJECT OUTPUT
PROJECT VIDEO
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