YOLOv13-SwinTongue: Tongue Coating Diagnosis Using an Enhanced YOLOv13 with Swin Transformer. [PDF]
Yang X +5 more
europepmc +1 more source
HASwinNet: A Swin Transformer-Based Denoising Framework with Hybrid Attention for mmWave MIMO Systems. [PDF]
Han X, Tu H, Ying J, Chen J, Xing Z.
europepmc +1 more source
Mapping Historical Landslide Activity Using a Swin Transformer-Based Transfer Learning Approach. [PDF]
Chen F +5 more
europepmc +1 more source
Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation
Recent advances in Vision Transformers (ViTs) have significantly enhanced medical image segmentation by facilitating the learning of global relationships.
Biecek, Przemyslaw +2 more
core
Optimized federated learning framework with RegNetZ and Swin-Transformer for multimodal pancreatic cancer detection1. [PDF]
Ge W +8 more
europepmc +1 more source
A Deep Feature Fusion Underwater Image Enhancement Model Based on Perceptual Vision Swin Transformer. [PDF]
Tian S, Sirikham A, Konpang J, Wang C.
europepmc +1 more source
POST: photonic swin transformer for automated and efficient prediction of PCSEL. [PDF]
Xin Q, Huang H, Li C, Shi K, Zhang Z.
europepmc +1 more source
Swin-BSSeg: A Novel Swin Transformer-Enhanced Architecture for Accurate Ischemic Stroke Lesion Segmentation in MRI Images [PDF]
Ischemic stroke, caused by obstructed cerebral blood flow, remains a leading cause of mortality and disability, necessitating precise magnetic resonance imaging (MRI)-based lesion detection.
Abraham, Ajith +3 more
core +1 more source
Crack detection in structural images using a hybrid Swin Transformer and enhanced features representation block. [PDF]
Anusha N, Anbarasi LJ.
europepmc +1 more source
A multi-scale attention-based Swin transformer model for medical images segmentation. [PDF]
Mirab Golkhatmi B +2 more
europepmc +1 more source

