ABSTRACT
Lung cancer prevalence is one of the highest of cancers. One of the first steps in lung cancer diagnosis is sampling of lung tissues or biopsy. These tissue samples are then microscopically 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 microscopic images of biopsy. This method will improve the efficiency for lung cancer detection. The aim of this project is to design a lung cancer detection system based on analysis of ct image of lung using digital image processing. 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 images of lungs. This method will improve the efficiency for lung nodule detection. The aim of this project is to detect a lung cancer detection system based on analysis of lung images using digital image processing. Lung Cancer Detection done using deep learning. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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