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Using 3D Texture and Margin Sharpness Features on Classification of Small Pulmonary Nodules.

, , , and . SIBGRAPI, page 394-400. IEEE Computer Society, (2016)

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Proposal of Local Automatic Weighing Attribute in CBIR., , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 1020-1021. IOS Press, (2015)Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research., , and . J. Digital Imaging, 29 (6): 716-729 (2016)A Medical Image Backup Architecture Based on a NoSQL Database and Cloud Computing Services., and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 929. IOS Press, (2015)Design of a Graph-Based System for Similar Case Retrieval of Pulmonary Nodules., , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 1079. IOS Press, (2015)Using 3D Texture and Margin Sharpness Features on Classification of Small Pulmonary Nodules., , , and . SIBGRAPI, page 394-400. IEEE Computer Society, (2016)Performance Evaluation of Medical Image Similarity Analysis in a Heterogeneous Architecture., , and . CBMS, page 159-164. IEEE Computer Society, (2014)Evaluating Margin Sharpness Analysis on Similar Pulmonary Nodule Retrieval., and . CBMS, page 60-65. IEEE Computer Society, (2015)Grid computing to make viable the content based medical image retrieval through the image registration techniques., , , and . EATIS, page 16. (2007)Toward classifying small lung nodules with hyperparameter optimization of convolutional neural networks., , and . Comput. Intell., 37 (4): 1599-1618 (2021)Lung-RADS + AI: A Tool for Quantifying the Risk of Lung Cancer in Computed Tomography Reports., , and . BIBE, page 292-297. IEEE, (2023)