These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 35086482)

  • 1. Improved U-Net3+ with stage residual for brain tumor segmentation.
    Qin C; Wu Y; Liao W; Zeng J; Liang S; Zhang X
    BMC Med Imaging; 2022 Jan; 22(1):14. PubMed ID: 35086482
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution.
    Cai Y; Long Y; Han Z; Liu M; Zheng Y; Yang W; Chen L
    BMC Med Inform Decis Mak; 2023 Feb; 23(1):33. PubMed ID: 36788560
    [TBL] [Abstract][Full Text] [Related]  

  • 3. mResU-Net: multi-scale residual U-Net-based brain tumor segmentation from multimodal MRI.
    Li P; Li Z; Wang Z; Li C; Wang M
    Med Biol Eng Comput; 2024 Mar; 62(3):641-651. PubMed ID: 37981627
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Region-related focal loss for 3D brain tumor MRI segmentation.
    Li B; You X; Peng Q; Wang J; Yang C
    Med Phys; 2023 Jul; 50(7):4325-4339. PubMed ID: 36708251
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentation.
    Lin WW; Lin JW; Huang TM; Li T; Yueh MH; Yau ST
    Sci Rep; 2022 Apr; 12(1):6452. PubMed ID: 35440793
    [TBL] [Abstract][Full Text] [Related]  

  • 6. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
    Sun J; Chen W; Peng S; Liu B
    J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
    Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
    Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DFP-ResUNet:Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation.
    Wang J; Gao J; Ren J; Luan Z; Yu Z; Zhao Y; Zhao Y
    Comput Methods Programs Biomed; 2021 Sep; 208():106208. PubMed ID: 34174763
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A lightweight hierarchical convolution network for brain tumor segmentation.
    Wang Y; Cao Y; Li J; Wu H; Wang S; Dong X; Yu H
    BMC Bioinformatics; 2022 Dec; 22(Suppl 5):636. PubMed ID: 36513986
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MLRD-Net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation.
    Chen X; Peng Y; Guo Y; Sun J; Li D; Cui J
    Med Biol Eng Comput; 2022 Dec; 60(12):3377-3395. PubMed ID: 36190611
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature interaction network based on hierarchical decoupled convolution for 3D medical image segmentation.
    Shen L; Zhang Y; Wang Q; Qin F; Sun D; Min H; Meng Q; Xu C; Zhao W; Song X
    PLoS One; 2023; 18(7):e0288658. PubMed ID: 37440581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
    Chen H; Dou Q; Yu L; Qin J; Heng PA
    Neuroimage; 2018 Apr; 170():446-455. PubMed ID: 28445774
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Adaptive cascaded transformer U-Net for MRI brain tumor segmentation.
    Chen B; Sun Q; Han Y; Liu B; Zhang J; Zhang Q
    Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38636503
    [No Abstract]   [Full Text] [Related]  

  • 14. Hybrid dilation and attention residual U-Net for medical image segmentation.
    Wang Z; Zou Y; Liu PX
    Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DENSE-INception U-net for medical image segmentation.
    Zhang Z; Wu C; Coleman S; Kerr D
    Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving brain tumor segmentation on MRI based on the deep U-net and residual units.
    Yang T; Song J; Li L; Tang Q
    J Xray Sci Technol; 2020; 28(1):95-110. PubMed ID: 31839620
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
    Wang J; Lv P; Wang H; Shi C
    Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet).
    Cao T; Wang G; Ren L; Li Y; Wang H
    Phys Med Biol; 2022 Apr; 67(9):. PubMed ID: 35294935
    [No Abstract]   [Full Text] [Related]  

  • 19. DCU-Net: Multi-scale U-Net for brain tumor segmentation.
    Yang T; Zhou Y; Li L; Zhu C
    J Xray Sci Technol; 2020; 28(4):709-726. PubMed ID: 32444591
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework.
    Guan X; Yang G; Ye J; Yang W; Xu X; Jiang W; Lai X
    BMC Med Imaging; 2022 Jan; 22(1):6. PubMed ID: 34986785
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.