BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

139 related articles for article (PubMed ID: 37015649)

  • 1. Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix.
    Qiao P; Li H; Song G; Han H; Gao Z; Tian Y; Liang Y; Li X; Zhou SK; Chen J
    IEEE Trans Med Imaging; 2023 May; 42(5):1546-1562. PubMed ID: 37015649
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Uncertainty-guided cross learning via CNN and transformer for semi-supervised honeycomb lung lesion segmentation.
    Zi-An Z; Xiu-Fang F; Xiao-Qiang R; Yun-Yun D
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988756
    [No Abstract]   [Full Text] [Related]  

  • 3. Evidence-based uncertainty-aware semi-supervised medical image segmentation.
    Chen Y; Yang Z; Shen C; Wang Z; Zhang Z; Qin Y; Wei X; Lu J; Liu Y; Zhang Y
    Comput Biol Med; 2024 Mar; 170():108004. PubMed ID: 38277924
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-supervised liver segmentation based on local regions self-supervision.
    Lou Q; Lin T; Qian Y; Lu F
    Med Phys; 2024 May; 51(5):3455-3463. PubMed ID: 38108537
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation.
    Zhang Y; Jiao R; Liao Q; Li D; Zhang J
    Artif Intell Med; 2023 Apr; 138():102476. PubMed ID: 36990583
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
    Luo X; Wang G; Liao W; Chen J; Song T; Chen Y; Zhang S; Metaxas DN; Zhang S
    Med Image Anal; 2022 Aug; 80():102517. PubMed ID: 35732106
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation.
    Miao J; Zhou SP; Zhou GQ; Wang KN; Yang M; Zhou S; Chen Y
    IEEE Trans Med Imaging; 2024 Apr; 43(4):1347-1364. PubMed ID: 37995173
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning.
    Yang H; Shan C; Bouwman A; Dekker LRC; Kolen AF; de With PHN
    IEEE J Biomed Health Inform; 2022 Feb; 26(2):762-773. PubMed ID: 34347611
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT.
    Hussain MA; Mirikharaji Z; Momeny M; Marhamati M; Neshat AA; Garbi R; Hamarneh G
    Comput Med Imaging Graph; 2022 Dec; 102():102127. PubMed ID: 36257092
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Uncertainty-aware deep co-training for semi-supervised medical image segmentation.
    Zheng X; Fu C; Xie H; Chen J; Wang X; Sham CW
    Comput Biol Med; 2022 Oct; 149():106051. PubMed ID: 36055155
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Mutual learning with reliable pseudo label for semi-supervised medical image segmentation.
    Su J; Luo Z; Lian S; Lin D; Li S
    Med Image Anal; 2024 May; 94():103111. PubMed ID: 38401271
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
    Wang G; Luo X; Gu R; Yang S; Qu Y; Zhai S; Zhao Q; Li K; Zhang S
    Comput Methods Programs Biomed; 2023 Apr; 231():107398. PubMed ID: 36773591
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
    Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
    Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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 Jul; 62(7):2231-2245. PubMed ID: 38514501
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Effective Semi-Supervised Approach for Liver CT Image Segmentation.
    Han K; Liu L; Song Y; Liu Y; Qiu C; Tang Y; Teng Q; Liu Z
    IEEE J Biomed Health Inform; 2022 Aug; 26(8):3999-4007. PubMed ID: 35420991
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dual consistency regularization with subjective logic for semi-supervised medical image segmentation.
    Lu S; Yan Z; Chen W; Cheng T; Zhang Z; Yang G
    Comput Biol Med; 2024 Mar; 170():107991. PubMed ID: 38242016
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Semi-Supervised Medical Image Segmentation With Voxel Stability and Reliability Constraints.
    Zhao Y; Lu K; Xue J; Wang S; Lu J
    IEEE J Biomed Health Inform; 2023 Aug; 27(8):3912-3923. PubMed ID: 37155391
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.