Abstract
Background: Lung cancer is the main cause of cancer death in both men and women. With the development of Computed Tomography (CT) scans technology, the detection rate of early stage lung cancer has significantly raised. The pulmonary CAD system has been a phenomenal and revolutionary step, in the early and premature detection of lung abnormalities.
Discussion: In recent years Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) system on CT has come to be “the second eyes” of radiologists. It can identify lung nodules on chest CT by itself, and can automatically measure nodule size, density and other information to provide a likelihood of malignancy or benignity.
Conclusion: In this article we mainly reviewed the basic method and function of CAD, and its clinical application and research progres.
Keywords: Artificial Neural Network (ANN), Computer-Aided Detection system (CADe), Computer-Aided Diagnosis system (CADx), Computed Tomography (CT), Massive Training Artificial Neural Networks (MTANN), Support Vector Machine (SVM).
Graphical Abstract
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