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An Optimized Optical-Flow-Based Method for Quantitative Tracking of Ultrasound-Guided Right Diaphragm Deformation
To develop a quantitative analysis method for right diaphragm deformation. This method is based on optical flow and applied to …
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An Optimized Optical-Flow-Based Method for Quantitative Tracking of Ultrasound-Guided Right Diaphragm Deformation
TLWSR: Weakly supervised real-world scene text image super-resolution using text label
Scene text image super-resolution (STISR) has recently received considerable attention. Existing STISR methods are applicable to the …
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TLWSR: Weakly supervised real-world scene text image super-resolution using text label
MESTrans: Multi-scale embedding spatial transformer for medical image segmentation
Transformers profiting from global information modeling derived from the self-attention mechanism have recently achieved remarkable …
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MESTrans: Multi-scale embedding spatial transformer for medical image segmentation
A Multimodal Transformer to Fuse Images and Metadata for Skin Disease Classification
Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a challenging task in the clinic. Utilizing …
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A Multimodal Transformer to Fuse Images and Metadata for Skin Disease Classification
Images Denoising for COVID-19 Chest X-Ray Based on Multi-resolution Parallel Residual CNN
Chest X-ray (CXR) is a medical imaging technology that is common and economical to use in clinical. Recently, coronavirus (COVID-19) …
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Images Denoising for COVID-19 Chest X-Ray Based on Multi-resolution Parallel Residual CNN
MC-DC: An MLP-CNN Based Dual-path Complementary Network for Medical Image Segmentation
Fusing the CNN and Transformer in the encoder has recently achieved outstanding performance in medical image segmentation. However, two …
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MC-DC: An MLP-CNN Based Dual-path Complementary Network for Medical Image Segmentation
Cross-Domain Attention and Center Loss for Sketch Re-Identification
Matching all RGB photos of the target person in the gallery database with the full-body sketch image drawn by the professional is …
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Cross-Domain Attention and Center Loss for Sketch Re-Identification
TD-Net: Trans-Deformer network for automatic pancreas segmentation. Neurocomputing
Accurate and efficient pancreas segmentation is the basis for subsequent diagnosis and qualitative treatment of pancreatic cancer. …
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TD-Net: Trans-Deformer network for automatic pancreas segmentation. Neurocomputing
RAOD: Refined Oriented Detector with Augmented Feature in Remote Sensing Images Object Detection
Object detection is a challenging task in remote sensing. Aerial images are distinguished by complex backgrounds, arbitrary …
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RAOD: Refined Oriented Detector with Augmented Feature in Remote Sensing Images Object Detection
FERGCN: Facial Expression Recognition based on Graph Convolution Network
Due to the problems of occlusion, pose change, illumination change, and image blur in the wild facial expression dataset, it is a …
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FERGCN: Facial Expression Recognition based on Graph Convolution Network