Search Results for author:
Found 7 papers, 0 papers with code
Efficient Deep Space Filling Curve
By modeling the pixel grid as a graph, they first adopt GNN to predict the edge weights and then generate a minimum spanning tree (MST) based on the predictions, which is further used to construct the SFC.
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
Recent studies have witnessed the effectiveness of 3D convolutions on segmenting volumetric medical images.
Tensor Low-Rank Reconstruction for Semantic Segmentation
Then we use these rank-1 tensors to recover the high-rank context features through our proposed tensor reconstruction module (TRM).
VLSI Mask Optimization: From Shallow To Deep Learning
VLSI mask optimization is one of the most critical stages in manufacturability aware design, which is costly due to the complicated mask optimization and lithography simulation.
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net
Random initialization is usally used to initialize the model weights in the U-net.
Prostate Segmentation using 2D Bridged U-net
To address the aforementioned three problems, we propose and validate a deeper network that can fit medical image datasets that are usually small in the sample size.
Head Mounted Pupil Tracking Using Convolutional Neural Network
Secondly, we use a CNN to evaluate the quality of each result.
