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Automated radiographic bone suppression with deep convolutional neural networks.

, , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)

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Toward classifying small lung nodules with hyperparameter optimization of convolutional neural networks., , and . Comput. Intell., 37 (4): 1599-1618 (2021)Automated radiographic bone suppression with deep convolutional neural networks., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)A general fully automated deep-learning method to detect cardiomegaly in chest x-rays., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Characterization of Pulmonary Nodules Based on Features of Margin Sharpness and Texture., , and . J. Digital Imaging, 31 (4): 451-463 (2018)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)Evaluating Margin Sharpness Analysis on Similar Pulmonary Nodule Retrieval., and . CBMS, page 60-65. IEEE Computer Society, (2015)