- Dual U|Net based feature map algorithm for automatic projection ...🔍
- A dual U|Net algorithm for automating feature extraction from ...🔍
- Dual U|Net with Resnet Encoder for Segmentation of Medical Images🔍
- Study Results from Chinese Academy of Sciences Broaden ...🔍
- Dual U|Net|Based Conditional Generative Adversarial Network for ...🔍
- Projection|Based Cascaded U|Net Model for MR Image ...🔍
- Multi|headed U|Net🔍
- Joint Iterative Fast Projection Matching for Fully Automatic Marker ...🔍
Dual U|Net based feature map algorithm for automatic projection ...
Dual U-Net based feature map algorithm for automatic projection ...
We propose a novel error correction model, a U-Net, that combines an experimentally informed mathematical model, optimized deep learning algorithm, and ...
Dual U-Net based feature map algorithm for automatic projection ...
We further propose an optimized feature map generation method, a dual U-Net. Applying it yields an almost negligible alignment error rate for low random error- ...
Dual U-Net based feature map algorithm for automatic projection ...
Semantic Scholar extracted view of "Dual U-Net based feature map algorithm for automatic projection alignment of synchrotron nano-CT" by B. Su et al.
Dual U-Net based feature map algorithm for automatic projection ...
Dual U-Net based feature map algorithm for automatic projection alignment of synchrotron nano-CT ... Authors: Bo Su; Ruoyang Gao; Fen Tao; Ling Zhang; Guohao Du ...
A dual U-Net algorithm for automating feature extraction from ...
In addition to predicting buildings and roads, our model numerically labels each building by means of a contour finding algorithm. Most importantly, the dual U- ...
Dual U-Net with Resnet Encoder for Segmentation of Medical Images
The evaluation of the proposed segmentation algorithm is based on three ... concatenation with the correspondingly cropped feature map from the ...
Study Results from Chinese Academy of Sciences Broaden ... - Gale
... (Dual U-net Based Feature Map Algorithm for Automatic Projection Alignment of Synchrotron Nano-ct). ... based nano-CT is a non-destructive ...
Dual U-Net-Based Conditional Generative Adversarial Network for ...
UUr-cGAN extracts important features from small datasets while preventing overfitting compared to other CNN-based methods and still achieve a ...
Projection-Based Cascaded U-Net Model for MR Image ...
Another state-of-the-art algorithm is the Primal-Dual-Net (PD-net) which was ... A multi-channel feature map is denoted by the blue rectangular boxes ...
Multi-headed U-Net: an automated nuclei segmentation technique ...
In the proposed work, multi-headed U-Net model is used, which is a fully convolutional neural network, designed for semantic segmentation and extracts multi- ...
Joint Iterative Fast Projection Matching for Fully Automatic Marker ...
The total processing time can be reduced by up to 4 orders of magnitude as compared to the classical projection matching method. This suggests that the ...
Dual U-Net for the Segmentation of Overlapping Glioma Nuclei
The target of our model is to find a prediction function f that establishes a map from ℐ to A. Assuming an unseen image I ∈ ℐ, f helps us to predict ...
MCA-UNet: multi-scale cross co-attentional U-Net for automatic ...
We name our method MCA-UNet, which enjoys two benefits: (1) it has a strong ability to model the multi-scale features, and (2) it jointly ...
Dual Hybrid Attention Mechanism-Based U-Net for Building ... - MDPI
The multiscale attention module in MACU-Net [27] can unify the semantic features contained in low-level and high-level feature maps at different scales. MANet [ ...
DCTR U-Net: automatic segmentation algorithm for medical images ...
Our model is based on the U-Net-based network, to which we add Dilated Convolution Module, Transformer Module, and Residual Module. The new deep ...
Research on Improved U-net Based Remote Sensing Image ... - arXiv
learning semantic segmentation algorithm based on the dual- channel ... (1) Input feature map: a feature map with multiple channels, each containing a ...
a lightweight polyp segmentation algorithm based on multi-scale ...
networks such as U-net, U-net++, TransUnet, SwinUnet, and ... Subsequently, we input the fused multi-information feature maps into the dual.
U-Net-Based Models towards Optimal MR Brain Image Segmentation
The basic structure of this model consists of two main paths, and it is most similar to the auto-encoder architecture, where the left path ( ...
N-Net: an UNet architecture with dual encoder for medical image ...
On the basis of UNet, we propose a dual encoder model to deepen the network depth and enhance the ability of feature extraction. In our ...
Application of U-Net and Optimized Clustering in Medical Image ...
The other is the research progress of the improved image segmentation network structure model based on U-Net. The power of technology proves that the ...