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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)Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500S. SPIE, (2019)KL based data fusion for target tracking., , , and . ICPR, page 3480-3483. IEEE Computer Society, (2012)Statistical Significance Based Graph Cut Segmentation for Shrinking Bias., and . ICIAR (1), volume 6753 of Lecture Notes in Computer Science, page 304-313. Springer, (2011)A novel stacked generalization of models for improved TB detection in chest radiographs., , , , , , , and . EMBC, page 718-721. IEEE, (2018)Atlas-based rib-bone detection in chest X-rays., , , , , , and . Comput. Medical Imaging Graph., (2016)Feature prominence-based weighting scheme for video tracking., , , , and . ICVGIP, page 25. ACM, (2012)