BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 37422639)

  • 1. Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention.
    Wu M; Qian Y; Liao X; Wang Q; Heng PA
    BMC Med Imaging; 2023 Jul; 23(1):91. PubMed ID: 37422639
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
    Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
    Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. MESTrans: Multi-scale embedding spatial transformer for medical image segmentation.
    Liu Y; Zhu Y; Xin Y; Zhang Y; Yang D; Xu T
    Comput Methods Programs Biomed; 2023 May; 233():107493. PubMed ID: 36965298
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
    Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
    Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Liver vessel segmentation based on inter-scale V-Net.
    Yang J; Fu M; Hu Y
    Math Biosci Eng; 2021 May; 18(4):4327-4340. PubMed ID: 34198439
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Automated multi-modal Transformer network (AMTNet) for 3D medical images segmentation.
    Zheng S; Tan J; Jiang C; Li L
    Phys Med Biol; 2023 Jan; 68(2):. PubMed ID: 36595252
    [No Abstract]   [Full Text] [Related]  

  • 19. LumVertCancNet: A novel 3D lumbar vertebral body cancellous bone location and segmentation method based on hybrid Swin-transformer.
    Zhang Y; Shi Z; Wang H; Cui S; Zhang L; Liu J; Shan X; Liu Y; Fang L
    Comput Biol Med; 2024 Mar; 171():108237. PubMed ID: 38422966
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net.
    Wu Y; Shen H; Tan Y; Shi Y
    Int J Comput Assist Radiol Surg; 2022 Oct; 17(10):1915-1922. PubMed ID: 35672595
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.