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 *

183 related articles for article (PubMed ID: 38823365)

  • 1. ResTransUnet: An effective network combined with Transformer and U-Net for liver segmentation in CT scans.
    Ou J; Jiang L; Bai T; Zhan P; Liu R; Xiao H
    Comput Biol Med; 2024 Jul; 177():108625. PubMed ID: 38823365
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. S2DA-Net: Spatial and spectral-learning double-branch aggregation network for liver tumor segmentation in CT images.
    Liu H; Yang J; Jiang C; He S; Fu Y; Zhang S; Hu X; Fang J; Ji W
    Comput Biol Med; 2024 May; 174():108400. PubMed ID: 38613888
    [TBL] [Abstract][Full Text] [Related]  

  • 4. TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation.
    Song P; Li J; Fan H; Fan L
    Comput Biol Med; 2023 Dec; 167():107583. PubMed ID: 37890420
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved UNet with Attention for Medical Image Segmentation.
    Al Qurri A; Almekkawy M
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896682
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ETU-Net: edge enhancement-guided U-Net with transformer for skin lesion segmentation.
    Chen L; Li J; Zou Y; Wang T
    Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38131313
    [No Abstract]   [Full Text] [Related]  

  • 7. BiU-net: A dual-branch structure based on two-stage fusion strategy for biomedical image segmentation.
    Huang Z; Zhao Y; Yu Z; Qin P; Han X; Wang M; Liu M; Gregersen H
    Comput Methods Programs Biomed; 2024 Jul; 252():108235. PubMed ID: 38776830
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PA-ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images.
    Xu Y; Cai M; Lin L; Zhang Y; Hu H; Peng Z; Zhang Q; Chen Q; Mao X; Iwamoto Y; Han XH; Chen YW; Tong R
    Med Phys; 2021 Jul; 48(7):3752-3766. PubMed ID: 33950526
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images.
    Seo H; Huang C; Bassenne M; Xiao R; Xing L
    IEEE Trans Med Imaging; 2020 May; 39(5):1316-1325. PubMed ID: 31634827
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MSCT-UNET: multi-scale contrastive transformer within U-shaped network for medical image segmentation.
    Xi H; Dong H; Sheng Y; Cui H; Huang C; Li J; Zhu J
    Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38061069
    [No Abstract]   [Full Text] [Related]  

  • 11. Hepatic and portal vein segmentation with dual-stream deep neural network.
    Xu J; Jiang W; Wu J; Zhang W; Zhu Z; Xin J; Zheng N; Wang B
    Med Phys; 2024 Aug; 51(8):5441-5456. PubMed ID: 38648676
    [TBL] [Abstract][Full Text] [Related]  

  • 12. HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.
    Kushnure DT; Talbar SN
    Comput Methods Programs Biomed; 2022 Jan; 213():106501. PubMed ID: 34752959
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
    Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ
    Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
    Tian H; Wang Y; Ji Y; Rahman MM
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic liver segmentation by integrating fully convolutional networks into active contour models.
    Guo X; Schwartz LH; Zhao B
    Med Phys; 2019 Oct; 46(10):4455-4469. PubMed ID: 31356688
    [TBL] [Abstract][Full Text] [Related]  

  • 16. STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels.
    Hu W; Yang S; Guo W; Xiao N; Yang X; Ren X
    BMC Med Imaging; 2024 Jul; 24(1):179. PubMed ID: 39030510
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GCHA-Net: Global context and hybrid attention network for automatic liver segmentation.
    Liu H; Fu Y; Zhang S; Liu J; Wang Y; Wang G; Fang J
    Comput Biol Med; 2023 Jan; 152():106352. PubMed ID: 36481761
    [TBL] [Abstract][Full Text] [Related]  

  • 18. TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images.
    Fu Y; Liu J; Shi J
    Comput Biol Med; 2024 Mar; 170():107938. PubMed ID: 38219644
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Transformer guided self-adaptive network for multi-scale skin lesion image segmentation.
    Xin C; Liu Z; Ma Y; Wang D; Zhang J; Li L; Zhou Q; Xu S; Zhang Y
    Comput Biol Med; 2024 Feb; 169():107846. PubMed ID: 38184865
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.