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ROC study of the effect of stereoscopic imaging on assessment of breast lesions
Online Contents | 2005| -
Digital breast tomosynthesis denoising using deep convolutional neural network: effects of dose level of training target images
British Library Conference Proceedings | 2021| -
Deep convolutional neural network regularized digital breast tomosynthesis reconstruction with detector blur and correlated noise modeling
British Library Conference Proceedings | 2022| -
Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach
Free accessIOP Institute of Physics | 2023| -
X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis
Free accessIOP Institute of Physics | 2024| -
Digitization requirements in mammography: Effects on computer-aided detection of microcalcifications
Online Contents | 1994| -
Deep learning-based risk stratification for treatment management of multiple myeloma with sequential MRI scans
British Library Conference Proceedings | 2021| -
Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks
British Library Conference Proceedings | 2020|
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