410 related articles for article (PubMed ID: 36359709)
1. Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery.
Xu Y; Zhou S; Huang Y
Entropy (Basel); 2022 Nov; 24(11):. PubMed ID: 36359709
[TBL] [Abstract][Full Text] [Related]
2. TMNet: A Two-Branch Multi-Scale Semantic Segmentation Network for Remote Sensing Images.
Gao Y; Zhang S; Zuo D; Yan W; Pan X
Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447759
[TBL] [Abstract][Full Text] [Related]
3. CPFTransformer: transformer fusion context pyramid medical image segmentation network.
Li J; Ye J; Zhang R; Wu Y; Berhane GS; Deng H; Shi H
Front Neurosci; 2023; 17():1288366. PubMed ID: 38130692
[TBL] [Abstract][Full Text] [Related]
4. Land Cover Classification of UAV Remote Sensing Based on Transformer-CNN Hybrid Architecture.
Lu T; Wan L; Qi S; Gao M
Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37300015
[TBL] [Abstract][Full Text] [Related]
5. SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer.
Jiang Y; Zhang Y; Lin X; Dong J; Cheng T; Liang J
Brain Sci; 2022 Jun; 12(6):. PubMed ID: 35741682
[TBL] [Abstract][Full Text] [Related]
6. Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention.
Ghazouani F; Vera P; Ruan S
Int J Comput Assist Radiol Surg; 2024 Feb; 19(2):273-281. PubMed ID: 37796413
[TBL] [Abstract][Full Text] [Related]
7. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images.
Li GY; Chen J; Jang SI; Gong K; Li Q
Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263
[TBL] [Abstract][Full Text] [Related]
8. A Siamese Swin-Unet for image change detection.
Tang Y; Cao Z; Guo N; Jiang M
Sci Rep; 2024 Feb; 14(1):4577. PubMed ID: 38403711
[TBL] [Abstract][Full Text] [Related]
9. Swin-UNet++: A Nested Swin Transformer Architecture for Location Identification and Morphology Segmentation of Dimples on 2.25Cr1Mo0.25V Fractured Surface.
Liu P; Song Y; Chai M; Han Z; Zhang Y
Materials (Basel); 2021 Dec; 14(24):. PubMed ID: 34947098
[TBL] [Abstract][Full Text] [Related]
10. ETUNet:Exploring efficient transformer enhanced UNet for 3D brain tumor segmentation.
Zhang W; Chen S; Ma Y; Liu Y; Cao X
Comput Biol Med; 2024 Mar; 171():108005. PubMed ID: 38340437
[TBL] [Abstract][Full Text] [Related]
11. ST-Unet: Swin Transformer boosted U-Net with Cross-Layer Feature Enhancement for medical image segmentation.
Zhang J; Qin Q; Ye Q; Ruan T
Comput Biol Med; 2023 Feb; 153():106516. PubMed ID: 36628914
[TBL] [Abstract][Full Text] [Related]
12. ConvWin-UNet: UNet-like hierarchical vision Transformer combined with convolution for medical image segmentation.
Feng X; Wang T; Yang X; Zhang M; Guo W; Wang W
Math Biosci Eng; 2023 Jan; 20(1):128-144. PubMed ID: 36650760
[TBL] [Abstract][Full Text] [Related]
13. DMCT-Net: dual modules convolution transformer network for head and neck tumor segmentation in PET/CT.
Wang J; Peng Y; Guo Y
Phys Med Biol; 2023 May; 68(11):. PubMed ID: 37141902
[No Abstract] [Full Text] [Related]
14. A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing.
Boulila W; Ghandorh H; Masood S; Alzahem A; Koubaa A; Ahmed F; Khan Z; Ahmad J
Heliyon; 2024 Apr; 10(8):e29396. PubMed ID: 38665569
[TBL] [Abstract][Full Text] [Related]
15. Swin-Net: A Swin-Transformer-Based Network Combing with Multi-Scale Features for Segmentation of Breast Tumor Ultrasound Images.
Zhu C; Chai X; Xiao Y; Liu X; Zhang R; Yang Z; Wang Z
Diagnostics (Basel); 2024 Jan; 14(3):. PubMed ID: 38337784
[TBL] [Abstract][Full Text] [Related]
16. Dual encoder network with transformer-CNN for multi-organ segmentation.
Hong Z; Chen M; Hu W; Yan S; Qu A; Chen L; Chen J
Med Biol Eng Comput; 2023 Mar; 61(3):661-671. PubMed ID: 36580181
[TBL] [Abstract][Full Text] [Related]
17. Swin-MFA: A Multi-Modal Fusion Attention Network Based on Swin-Transformer for Low-Light Image Human Segmentation.
Yi X; Zhang H; Wang Y; Guo S; Wu J; Fan C
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015990
[TBL] [Abstract][Full Text] [Related]
18. iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation.
Jiang Y; Dong J; Cheng T; Zhang Y; Lin X; Liang J
BioData Min; 2023 Feb; 16(1):5. PubMed ID: 36805687
[TBL] [Abstract][Full Text] [Related]
19. Dual-path Network for Liver and Tumor Segmentation in CT Images Using Swin Transformer Encoding Approach.
Yang Z; Li S
Curr Med Imaging; 2023; 19(10):1114-1123. PubMed ID: 36239728
[TBL] [Abstract][Full Text] [Related]
20. High-Resolution Swin Transformer for Automatic Medical Image Segmentation.
Wei C; Ren S; Guo K; Hu H; Liang J
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050479
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
