Jan 5, 2020 · In this paper, we propose an approach for the single-image super-resolution of 3D CT or MRI scans. Our method is based on deep convolutional neural networks ( ...
Mar 12, 2020 · In this paper, we propose an approach for the single-image super-resolution of 3D CT or MRI scans. Our method is based on deep convolutional neural networks ( ...
In this paper, we propose an approach for the single-image super-resolution of 3D CT or MRI scans. Our method is based on deep convolutional neural networks ( ...
The empirical study shows that the proposed approach attains superior results to all other methods, and subjective image quality assessment by human ...
Mar 19, 2020 · In this paper, we propose an approach for the single-image super-resolution of 3D CT or MRI scans. Our method is based on deep convolutional ...
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. Code for training CNN for 3D medical images super resolution.
Jan 16, 2020 · In this paper, we propose an approach for the single-image super-resolution of 3D CT or MRI scans. Our method is based on deep convolutional ...
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Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks.
In this paper, we study deep three-dimensional convolutional neural networks for the super-resolution of brain magnetic resonance imaging data.
In this paper, we propose an approach for the single-image super-resolution of 3D CT or MRI scans. Our method is based on deep convolutional neural networks ( ...