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3D convolutional neural network for automatic detection of lung nodules in chest CT
2017
Medical Imaging 2017: Computer-Aided Diagnosis
Deep convolutional neural networks (CNNs) form the backbone of many state-of-the-art computer vision systems for classification and segmentation of 2D images. The same principles and architectures can be extended to three dimensions to obtain 3D CNNs that are suitable for volumetric data such as CT scans. In this work, we train a 3D CNN for automatic detection of pulmonary nodules in chest CT images using volumes of interest extracted from the LIDC dataset. We then convert the 3D CNN which has
doi:10.1117/12.2255795
pmid:28845077
pmcid:PMC5568782
dblp:conf/micad/HamidianSPP17
fatcat:jeqnjcvanjaodjr7ammori3shq