BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

211 related articles for article (PubMed ID: 37718833)

  • 1. MTAN: A semi-supervised learning model for kidney tumor segmentation.
    Sun P; Yang S; Guan H; Mo T; Yu B; Chen Z
    J Xray Sci Technol; 2023; 31(6):1295-1313. PubMed ID: 37718833
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Segmentation of kidney mass using AgDenseU-Net 2.5D model.
    Sun P; Mo Z; Hu F; Song X; Mo T; Yu B; Zhang Y; Chen Z
    Comput Biol Med; 2022 Nov; 150():106223. PubMed ID: 37859296
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
    Xiao Z; Su Y; Deng Z; Zhang W
    Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 2.5D MFFAU-Net: a convolutional neural network for kidney segmentation.
    Sun P; Mo Z; Hu F; Song X; Mo T; Yu B; Zhang Y; Chen Z
    BMC Med Inform Decis Mak; 2023 May; 23(1):92. PubMed ID: 37165349
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semi-TMS: an efficient regularization-oriented triple-teacher semi-supervised medical image segmentation model.
    Chen W; Zhou S; Liu X; Chen Y
    Phys Med Biol; 2023 Oct; 68(20):. PubMed ID: 37699409
    [No Abstract]   [Full Text] [Related]  

  • 6. PolypMixNet: Enhancing semi-supervised polyp segmentation with polyp-aware augmentation.
    Jia X; Shen Y; Yang J; Song R; Zhang W; Meng MQ; Liao JC; Xing L
    Comput Biol Med; 2024 Mar; 170():108006. PubMed ID: 38325216
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonography.
    Farooq MU; Ullah Z; Gwak J
    Comput Med Imaging Graph; 2023 Mar; 104():102173. PubMed ID: 36641970
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
    Chaitanya K; Erdil E; Karani N; Konukoglu E
    Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Constantly optimized mean teacher for semi-supervised 3D MRI image segmentation.
    Li N; Pan Y; Qiu W; Xiong L; Wang Y; Zhang Y
    Med Biol Eng Comput; 2024 Mar; ():. PubMed ID: 38514501
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Semi-supervised contrast learning-based segmentation of choroidal vessel in optical coherence tomography images.
    Liu X; Pan J; Zhang Y; Li X; Tang J
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37972415
    [No Abstract]   [Full Text] [Related]  

  • 12. Semi-supervised medical image segmentation via cross-guidance and feature-level consistency dual regularization schemes.
    Yang X; Tian J; Wan Y; Chen M; Chen L; Chen J
    Med Phys; 2023 Jul; 50(7):4269-4281. PubMed ID: 36636813
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improving Skin Lesion Segmentation with Self-Training.
    Dzieniszewska A; Garbat P; Piramidowicz R
    Cancers (Basel); 2024 Mar; 16(6):. PubMed ID: 38539454
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net.
    Zhang G; Yang Z; Huo B; Chai S; Jiang S
    Comput Methods Programs Biomed; 2021 Nov; 211():106419. PubMed ID: 34563895
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images.
    Gao F; Hu M; Zhong ME; Feng S; Tian X; Meng X; Ni-Jia-Ti MY; Huang Z; Lv M; Song T; Zhang X; Zou X; Wu X
    Med Image Anal; 2022 Aug; 80():102515. PubMed ID: 35780593
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation.
    Hua Y; Shu X; Wang Z; Zhang L
    Int J Neural Syst; 2022 Apr; 32(4):2250016. PubMed ID: 35225168
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
    Wang K; Zhan B; Zu C; Wu X; Zhou J; Zhou L; Wang Y
    Med Image Anal; 2022 Jul; 79():102447. PubMed ID: 35509136
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Voxel-wise adversarial semi-supervised learning for medical image segmentation.
    Lee CE; Park H; Shin YG; Chung M
    Comput Biol Med; 2022 Nov; 150():106152. PubMed ID: 36208595
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mutual consistency learning for semi-supervised medical image segmentation.
    Wu Y; Ge Z; Zhang D; Xu M; Zhang L; Xia Y; Cai J
    Med Image Anal; 2022 Oct; 81():102530. PubMed ID: 35839737
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.