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Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography.

, , , , and . Artif. Intell. Medicine, (August 2023)

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Assessing the impact of correlated noise in digital mammography: a virtual clinical trial., , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)Method for Simulating Dose Reduction in Digital Breast Tomosynthesis., , , , , and . IEEE Trans. Medical Imaging, 36 (11): 2331-2342 (2017)A 2-AFC study to validate artificially inserted microcalcification clusters in digital mammography., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520R. SPIE, (2019)Restored low-dose digital breast tomosynthesis: a perception study., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 1057705. SPIE, (2018)Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography., , , , and . Artif. Intell. Medicine, (August 2023)Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization., , , , , , , and . IEEE Trans. Med. Imaging, 37 (8): 1857-1864 (2018)Mammogram denoising to improve the calcification detection performance of convolutional nets., , , , , , , , and . IWBI, volume 10718 of SPIE Proceedings, page 107180W. SPIE, (2018)