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A systematic study of the class imbalance problem in convolutional neural networks., , and . CoRR, (2017)Deep learning in radiology: an overview of the concepts and a survey of the state of the art., , , and . CoRR, (2018)Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm., , and . Comput. Biol. Medicine, (2019)Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset., , , , , , , , , and . CoRR, (2022)Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model., , , , , , , and . CoRR, (2020)MRI image harmonization using cycle-consistent generative adversarial network., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)A systematic study of the class imbalance problem in convolutional neural networks, , and . Neural Networks, (2018)