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3D convolutional neural network for automatic detection of lung nodules in chest CT., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013409. SPIE, (2017)Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095004. SPIE, (2019)Evaluating neural network robustness for melanoma classification using mutual information., , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 105770K. SPIE, (2018)Lung Nodule Malignancy Classification Based ON NLSTx Data., , , , , , , and . ISBI, page 1870-1874. IEEE, (2020)Seamless lesion insertion in digital mammography: methodology and reader study., , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850J. SPIE, (2016)Seamless Insertion of Pulmonary Nodules in Chest CT Images., , , , , and . IEEE Trans. Biomed. Eng., 62 (12): 2812-2827 (2015)Improved Multi Angled Parallelism for separation of text from intersecting linear features in scanned topographic maps., and . ICASSP, page 1078-1081. IEEE, (2010)Improving CAD performance by seamless insertion of pulmonary nodules in chest CT exams., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94140A. SPIE, (2015)Seamless insertion of real pulmonary nodules in chest CT exams., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90351K. SPIE, (2014)