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Deep Learning Poised to Improve Breast Cancer Imaging
Researchers have developed a new image reconstruction approach that could contribute to better breast cancer detection. The deep learning algorithm overcomes a major hurdle in multi-modality imaging by allowing images to be recovered in real time.
Shudong jiang
Laura thomson
Keith paulsen
Jinchao feng
University of technology
Dartmouth college
Optica publishing group
University of birmingham
Beijing university
Learning based image reconstruction
Near infrared spectral tomography
Deep Learning Poised to Improve Breast Cancer Imaging
A new algorithm, Z-Net, allows real-time reconstruction of images that combine optical and magnetic resonance imaging (MRI) data to improve upon.
United states
Shudong jiang
Prem kumar
Keith paulsen
Jinchao feng
University of technology
Dartmouth college
Optica publishing group
University of birmingham
Northwestern university
Beijing university
Learning based image reconstruction
Near infrared spectral tomography
Editor in chief prem kumar
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