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Study on the detection of pulmonary nodules in CT images based on deep learning
2020
IEEE Access
With the development of medical imaging technology and the introduction of computed tomography (CT), early screening for lung cancer is becoming more and more possible. In this paper, we introduce the method of wavelet dynamic analysis to extract and repair the lung parenchyma, so as to exclude the noise interference outside the lung parenchyma. The algorithm can help us to locate the lung nodules with higher accuracy. Then, the convolution neural network (CNN) optimized by genetic algorithm
doi:10.1109/access.2020.2984381
fatcat:kbgvx2thfjfcrobocl5esddhwa