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Automated Detection of Cancerous Lung Nodule from the Computed Tomography Images

An automated Computer Aided Diagnosis (CAD) system is proposed in this paper for the detection of lung nodule from the computed tomography (CT) images. CT Images are more efficient and provideappropriate details on anatomical features of the lung nodule than X-ray. There are two types of lung nodule, cancerous and non-cancerous nodules. Lung nodules are classified with the help of CAD system. The CAD system can classify the lung nodule from CT images on the basis of nodule feature such as growth rate, density, shape and boundary of the nodule. These feature values are calculated in image processing tool by using image enhancement, segmentation, and feature extraction. The feature values are given as input to classifier to classify nodule.