Results 151 to 160 of about 192,101 (191)

POST: photonic swin transformer for automated and efficient prediction of PCSEL. [PDF]

Nanophotonics
Xin Q, Huang H, Li C, Shi K, Zhang Z.
europepmc   +1 more source

Optimized federated learning framework with RegNetZ and Swin-Transformer for multimodal pancreatic cancer detection1. [PDF]

Sci Rep
Ge W, Govindarajan V, Yang J, Ayadi M, Shaikh ZA, Li L, Por LY, Liu N, Tu Y.   +8 more
europepmc   +1 more source

AI-driven multimodal imaging fusion using swin transformer and optimized tensor fusion networks for pneumonia detection. [PDF]

Sci Rep
Sikindar S, Raghavendran CV, Madhavi G.
europepmc   +1 more source

Mapping Historical Landslide Activity Using a Swin Transformer-Based Transfer Learning Approach. [PDF]

Sensors (Basel)
Chen F, Liang Z, Cheng Z, Li H, Zhong C, Hu Z.   +5 more
europepmc   +1 more source

A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network. [PDF]

Sci Rep
Aldawsari MA, Aldosari SJ, Ismail A, Emam MM.   +3 more
europepmc   +1 more source

NeXtSwin-X: dual-branch cross-attention fusion of ConvNeXt and swin transformer for accurate brain tumor classification from MRI and CT. [PDF]

Sci Rep
Esfahani AN, Jalili A, Sajedi H.
europepmc   +1 more source

A Deep Feature Fusion Underwater Image Enhancement Model Based on Perceptual Vision Swin Transformer. [PDF]

J Imaging
Tian S, Sirikham A, Konpang J, Wang C.
europepmc   +1 more source

BC-SwinNet: Swin transformer and CNN with multi-objective optimization for multi-class breast cancer detection using Histopathological images. [PDF]

Sci Rep
Khan M, Altaf M, Khan NR, Pk H, Malik V, Menshawi A, Alsubait T, Ziar RA, Martin RJ.   +8 more
europepmc   +1 more source

CSAFusion: a convolutional neural network (CNN)-based and Swin Transformer network for multi-modal medical image fusion. [PDF]

Quant Imaging Med Surg
Zhang L, Zheng J, Tang X.
europepmc   +1 more source