ABSTRACT
Lung nodule prevalence is one of the highest of cancers. One of the first steps in lung nodule diagnosis is sampling of lung tissues. These tissue samples are then microscopically analyzed. This procedure is taken once imaging tests indicate the presence of nodule cells in the chest. Lung nodule 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 nodule in patients. Hence, there is need for a system that is capable for detecting lung nodule 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 nodule detection system based on analysis of lung images using digital image processing by make use of following steps like image acquisition, pre-processing, filtering, edge detection, lung extraction, segmentation and classification. Lung images parameters extracted and classified using image processing with upto 97% accuracy of this project. This project is implemented to detection of lung nodule of lung samples in matlab. This project is developed in matlab.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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