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Found 5 papers, 1 papers with code
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation
For accurate segmentation, we also proposed a CT intensity integrated regularization loss.
A Multiple Decoder CNN for Inverse Consistent 3D Image Registration
The recent application of deep learning technologies in medical image registration has exponentially decreased the registration time and gradually increased registration accuracy when compared to their traditional counterparts.
Dense Deformation Network for High Resolution Tissue Cleared Image Registration
In both resolutions, the proposed DenseDeformation network outperforms VoxelMorph in registration accuracy.
A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Data
In this paper, we investigate and compare the performance of a deep learning based registration method with traditional optimization based methods on samples from tissue-clearing methods.
Performance of Image Registration Tools on High-Resolution 3D Brain Images
Recent progress in tissue clearing has allowed for the imaging of entire organs at single-cell resolution.
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