BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 38042604)

  • 1. GCLR: A self-supervised representation learning pretext task for glomerular filtration barrier segmentation in TEM images.
    Lin G; Zhang Z; Long K; Zhang Y; Lu Y; Geng J; Zhou Z; Feng Q; Lu L; Cao L
    Artif Intell Med; 2023 Dec; 146():102720. PubMed ID: 38042604
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks.
    Lu Q; Li Y; Ye C
    Med Image Anal; 2021 Aug; 72():102094. PubMed ID: 34004493
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. [A region-level contrastive learning-based deep model for glomerular ultrastructure segmentation on electron microscope images].
    Lin G; Zhang Z; Lu Y; Geng J; Zhou Z; Lu L; Cao L
    Nan Fang Yi Ke Da Xue Xue Bao; 2023 May; 43(5):815-824. PubMed ID: 37313824
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Self-supervised driven consistency training for annotation efficient histopathology image analysis.
    Srinidhi CL; Kim SW; Chen FD; Martel AL
    Med Image Anal; 2022 Jan; 75():102256. PubMed ID: 34717189
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MsVRL: Self-Supervised Multiscale Visual Representation Learning via Cross-Level Consistency for Medical Image Segmentation.
    Zheng R; Zhong Y; Yan S; Sun H; Shen H; Huang K
    IEEE Trans Med Imaging; 2023 Jan; 42(1):91-102. PubMed ID: 36063521
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
    Lin Y; Qu Z; Chen H; Gao Z; Li Y; Xia L; Ma K; Zheng Y; Cheng KT
    Med Image Anal; 2023 Oct; 89():102933. PubMed ID: 37611532
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images.
    Chen W; Li C; Chen D; Luo X
    Neural Netw; 2023 Oct; 167():810-826. PubMed ID: 37738716
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Boundary-aware information maximization for self-supervised medical image segmentation.
    Peng J; Wang P; Pedersoli M; Desrosiers C
    Med Image Anal; 2024 May; 94():103150. PubMed ID: 38574545
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Self-supervised-RCNN for medical image segmentation with limited data annotation.
    Felfeliyan B; Forkert ND; Hareendranathan A; Cornel D; Zhou Y; Kuntze G; Jaremko JL; Ronsky JL
    Comput Med Imaging Graph; 2023 Oct; 109():102297. PubMed ID: 37729826
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using Sparse Patch Annotation for Tumor Segmentation in Histopathological Images.
    Liu Y; He Q; Duan H; Shi H; Han A; He Y
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015814
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DEPICTER: Deep representation clustering for histology annotation.
    Chelebian E; Avenel C; Ciompi F; Wählby C
    Comput Biol Med; 2024 Mar; 170():108026. PubMed ID: 38308865
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Self-supervised learning for medical image data with anatomy-oriented imaging planes.
    Zhang T; Wei D; Zhu M; Gu S; Zheng Y
    Med Image Anal; 2024 May; 94():103151. PubMed ID: 38527405
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. GMIM: Self-supervised pre-training for 3D medical image segmentation with adaptive and hierarchical masked image modeling.
    Qi L; Jiang Z; Shi W; Qu F; Feng G
    Comput Biol Med; 2024 Jun; 176():108547. PubMed ID: 38728994
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.
    Ross T; Zimmerer D; Vemuri A; Isensee F; Wiesenfarth M; Bodenstedt S; Both F; Kessler P; Wagner M; Müller B; Kenngott H; Speidel S; Kopp-Schneider A; Maier-Hein K; Maier-Hein L
    Int J Comput Assist Radiol Surg; 2018 Jun; 13(6):925-933. PubMed ID: 29704196
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SurgNet: Self-Supervised Pretraining With Semantic Consistency for Vessel and Instrument Segmentation in Surgical Images.
    Chen J; Li M; Han H; Zhao Z; Chen X
    IEEE Trans Med Imaging; 2024 Apr; 43(4):1513-1525. PubMed ID: 38090838
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.
    Xie Y; Zhang J; Liu L; Wang H; Ye Y; Verjans J; Xia Y
    Med Image Anal; 2024 Jan; 91():103023. PubMed ID: 37956551
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.