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Found 6 papers, 2 papers with code
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Furthermore, we demonstrate that our model can generalize to two unseen sites with 229 WSIs.
MRGazer: Decoding Eye Gaze Points from Functional Magnetic Resonance Imaging in Individual Space
Compared to the previous method, the proposed framework skips the fMRI co-registration step, simplifies the processing protocol and achieves end-to-end eye gaze regression.
Attention module improves both performance and interpretability of 4D fMRI decoding neural network
Finally, the model was retrained to regress individual traits within the HCP and to classify viewing images from the BOLD5000 dataset, respectively.
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection
Finally, we propose an effective layer-wise aggregation module to fuse the features extracted from the enhanced depth maps and RGB images for the accurate detection of salient objects.
Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields
To the best of our knowledge, this is the first study to apply a 3-D neural network with a CRFs model for direct surface segmentation.
A deep learning-based method for relative location prediction in CT scan images
Relative location prediction in computed tomography (CT) scan images is a challenging problem.
