BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 37981627)

  • 1. 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]  

  • 2. A multiple-channel and atrous convolution network for ultrasound image segmentation.
    Zhang L; Zhang J; Li Z; Song Y
    Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. SDS-Net: A lightweight 3D convolutional neural network with multi-branch attention for multimodal brain tumor accurate segmentation.
    Wu Q; Pei Y; Cheng Z; Hu X; Wang C
    Math Biosci Eng; 2023 Sep; 20(9):17384-17406. PubMed ID: 37920059
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Attention-guided multi-scale context aggregation network for multi-modal brain glioma segmentation.
    Wu S; Cao Y; Li X; Liu Q; Ye Y; Liu X; Zeng L; Tian M
    Med Phys; 2023 Dec; 50(12):7629-7640. PubMed ID: 37151131
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images.
    Balraj K; Ramteke M; Mittal S; Bhargava R; Rathore AS
    Sci Rep; 2024 Jun; 14(1):12699. PubMed ID: 38830932
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MRF-IUNet: A Multiresolution Fusion Brain Tumor Segmentation Network Based on Improved Inception U-Net.
    Jiang Y; Ye M; Wang P; Huang D; Lu X
    Comput Math Methods Med; 2022; 2022():6305748. PubMed ID: 35966244
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames.
    Rehman MU; Ryu J; Nizami IF; Chong KT
    Comput Biol Med; 2023 Jan; 152():106426. PubMed ID: 36565485
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U-Net.
    Lin M; Momin S; Lei Y; Wang H; Curran WJ; Liu T; Yang X
    Med Phys; 2021 Aug; 48(8):4365-4374. PubMed ID: 34101845
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A novel end-to-end brain tumor segmentation method using improved fully convolutional networks.
    Li H; Li A; Wang M
    Comput Biol Med; 2019 May; 108():150-160. PubMed ID: 31005007
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An MRI brain tumor segmentation method based on improved U-Net.
    Zhu J; Zhang R; Zhang H
    Math Biosci Eng; 2024 Jan; 21(1):778-791. PubMed ID: 38303443
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. GMAlignNet: multi-scale lightweight brain tumor image segmentation with enhanced semantic information consistency.
    Song J; Lu X; Gu Y
    Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38657628
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical target segmentation using a novel deep neural network: double attention Res-U-Net.
    Ashkani Chenarlogh V; Shabanzadeh A; Ghelich Oghli M; Sirjani N; Farzin Moghadam S; Akhavan A; Arabi H; Shiri I; Shabanzadeh Z; Sanei Taheri M; Kazem Tarzamni M
    Sci Rep; 2022 Apr; 12(1):6717. PubMed ID: 35468984
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MAU-Net: Mixed attention U-Net for MRI brain tumor segmentation.
    Zhang Y; Han Y; Zhang J
    Math Biosci Eng; 2023 Nov; 20(12):20510-20527. PubMed ID: 38124563
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.