ABSTRACT
Lung cancer prevalence is one of the highest of cancers. One of the first steps in lung cancer diagnosis is sampling of lung image. 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 images of lung. This method will improve the accuracy and efficiency for lung cancer detection. The aim of this project is to design a lung cancer detection system based on analysis image of lung using digital image processing. Lung Cancer Detection and classification done using deep learning CNN (convolutional neural network).
PROJECT OUTPUT
PROJECT VIDEO
.png)
