Optimized flood scene segmentation with swin transformer-based architecture. [PDF]
Preetha S, M S SP, Manikandan P.
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DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]
Bilen MN, Çelik FM, Kobat MA, Demir F.
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MSF-Swin-ICFNet: An Image-Derived Multi-Scale Swin Transformer Framework with Cross-Scale Feature Fusion for Breast Lesion Classification and Segmentation in Mammograms. [PDF]
Lakshmi Prasanthi NRS, Rao NT, Kumar SD.
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Editorial Note: Small object detection algorithm incorporating swin transformer for tea buds. [PDF]
PLOS One Editors.
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MSTM-Net: a two-stage prostate cancer segmentation network based on swin-transformer-mamba architecture. [PDF]
Chen J, Liu X, Wang S, Ji W.
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Patched-Based Swin Transformer Hyperprior for Learned Image Compression. [PDF]
Buthelezi SB, Tapamo JR.
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Explainable Two-Stage Xception-Swin Transformer Learning for Body-Part-Aware Fracture Detection in Musculoskeletal X-Rays. [PDF]
Shah SBH +8 more
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Deep Learning Based on Swin-Transformer and 3D U-Net: Implant Three-Dimensional Position Planning. [PDF]
Shen J +7 more
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A multi-task and explainable swin transformer framework for cross-scale computational pathology in gastrointestinal cancer. [PDF]
Feng QC, Yang T, Guo HL, Wang XY.
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Hand gesture 3D pose estimation method based on swin transformer and CNN. [PDF]
Dang R, Feng G.
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