Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.

Objective: The present work has the objective of developing an automatic methodology for the detection of lung nodules.

Methodology: The proposed methodology is based on image processing and pattern recognition techniques and can be summarized in three stages. In the first stage, the extraction and reconstruction of the pulmonary parenchyma is carried out and then enhanced to highlight its structures.