Early detection of lung nodule is of great importance for the successful diagnosis\nand treatment of lung cancer. Many researchers have tried with diverse\nmethods, such as thresholding, computer-aided diagnosis system, pattern recognition\ntechnique, backpropagation algorithm, etc. Recently, convolutional\nneural network (CNN) finds promising applications in many areas. In this\nresearch, we investigated 3D CNN to detect early lung cancer using LUNA 16\ndataset. At first, we preprocessed raw image using thresholding technique.\nThen we used Vanilla 3D CNN classifier to determine whether the image is\ncancerous or non-cancerous. The experimental results show that the proposed\nmethod can achieve a detection accuracy of about 80% and it is a satisfactory\nperformance compared to the existing technique.
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