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Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning., , , , , , , , , and . J. Digit. Imaging, 33 (2): 431-438 (2020)Foreign object detection in chest X-rays., , , , , , and . BIBM, page 956-961. IEEE Computer Society, (2015)Persistent target tracking using likelihood fusion in wide-area and full motion video sequences., , , , , and . FUSION, page 2420-2427. IEEE, (2012)Adaptive Regularization Parameter for Graph Cut Segmentation., and . ICIAR (1), volume 6111 of Lecture Notes in Computer Science, page 117-126. Springer, (2010)A novel stacked generalization of models for improved TB detection in chest radiographs., , , , , , , and . EMBC, page 718-721. IEEE, (2018)A review on lung boundary detection in chest X-rays., and . Int. J. Comput. Assist. Radiol. Surg., 14 (4): 563-576 (2019)Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks., , , , , , and . CoRR, (2019)Atlas-based rib-bone detection in chest X-rays., , , , , , and . Comput. Medical Imaging Graph., (2016)Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network., , , , , , and . Comput. Medical Imaging Graph., (2020)Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 11 (1): 99-106 (2016)