Predicting pathological subtypes of pure ground-glass nodules using Swin Transformer deep learning model. [PDF]
Wen Y +6 more
europepmc +1 more source
UAV-based intelligent traffic surveillance using recurrent neural networks and Swin transformer for dynamic environments. [PDF]
Alshehri M +6 more
europepmc +1 more source
Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model. [PDF]
Rastogi U, Mahapatra RP, Kumar S.
europepmc +1 more source
Dual-model approach for accurate chest disease detection using GViT and swin transformer V2. [PDF]
Ahmad K +4 more
europepmc +1 more source
ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases. [PDF]
Yu S, Xie L, Dai L.
europepmc +1 more source
Swin Transformer Based Recognition for Hydraulic Fracturing Microseismic Signals from Coal Seam Roof with Ultra Large Mining Height. [PDF]
Wang P, Feng Y, Sun X, Cheng X.
europepmc +1 more source
Multi-phase deep learning framework with Multiscale Adaptive Swin Transformer and embedding attention for precision lung nodule detection and classification. [PDF]
M D, B RAP.
europepmc +1 more source
Innovative patient-specific delivered-dose prediction for volumetric modulated arc therapy using lightweight Swin-Transformer. [PDF]
Zhou Y, Gong C, Jian J, Zhang Y.
europepmc +1 more source
Optimized Lung Nodule Classification Using CLAHE-Enhanced CT Imaging and Swin Transformer-Based Deep Feature Extraction. [PDF]
Hrizi D, Tbarki K, Elasmi S.
europepmc +1 more source
Medical image segmentation by combining feature enhancement Swin Transformer and UperNet. [PDF]
Zhang L, Yin X, Liu X, Liu Z.
europepmc +1 more source

