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SFJD-Net: spatial-frequency domain joint feature enhancement with differential learning for brain stroke segmentation
Brain stroke is a major cause of disability and death, and accurate lesion segmentation is essential for early diagnosis and treatment …
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SFJD-Net: spatial-frequency domain joint feature enhancement with differential learning for brain stroke segmentation
DDCFusion: Dynamic Depth Compensation Fusion for Camera-Radar 3D Object Detection
The effective representation and feature extraction from sparse point clouds of 4D millimeter-wave(4D-MMW) radar pose a significant …
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DDCFusion: Dynamic Depth Compensation Fusion for Camera-Radar 3D Object Detection
PGgraf: Pose-Guided generative radiance field for novel-views on X-ray
In clinical diagnosis, doctors usually judge the information by a few X-rays to avoid excessive ionizing radiation from harming the …
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PGgraf: Pose-Guided generative radiance field for novel-views on X-ray
Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model
Deep learning-based medical image processing methods can enhance diagnostic accuracy while significantly accelerating clinical decision …
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Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model
Fine-grained grading network based on sparse transformer and spectral attention for multiparametric MR image segmentation
Multiparametric magnetic resonance imaging (mpMRI) is crucial in excluding serious diseases by providing clear scans that can quickly …
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Fine-grained grading network based on sparse transformer and spectral attention for multiparametric MR image segmentation
Hybrid CNN-RWKV with high-frequency enhancement for real-world chinese-english scene text image super-resolution
Existing scene text image super-resolution (STISR) methods primarily focus on the restoration of fixed-size English text images. …
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Hybrid CNN-RWKV with high-frequency enhancement for real-world chinese-english scene text image super-resolution
Dual attention transformer with adaptive frequency enhancement for real-world Chinese–English scene text image super-resolution
Scene text image super-resolution (STISR) has achieved remarkable performance on the pure English dataset, TextZoom. Nevertheless, …
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Dual attention transformer with adaptive frequency enhancement for real-world Chinese–English scene text image super-resolution
TS-Net: Trans-Scale Network for Medical Image Segmentation
Accurate medical image segmentation is crucial for clinical diagnosis and disease treatment. However, there are still great challenges …
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TS-Net: Trans-Scale Network for Medical Image Segmentation
TransMRE: Multiple Observation Planes Representation Encoding With Fully Sparse Voxel Transformers for 3-D Object Detection
The effective representation and feature extraction of 3-D scenes from sparse and unstructured point clouds pose a significant …
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TransMRE: Multiple Observation Planes Representation Encoding With Fully Sparse Voxel Transformers for 3-D Object Detection
MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for Pancreas Segmentation
Accurate pancreas segmentation is essential for the diagnosis of pancreas disease, while it is still challenging due to the variable …
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MDHT-Net: Multi-scale Deformable U-Net with Cos-spatial and Channel Hybrid Transformer for Pancreas Segmentation