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 *

113 related articles for article (PubMed ID: 35144178)

  • 1. Shape and boundary-aware multi-branch model for semi-supervised medical image segmentation.
    Liu X; Hu Y; Chen J; Li K
    Comput Biol Med; 2022 Apr; 143():105252. PubMed ID: 35144178
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation.
    Chen G; Ru J; Zhou Y; Rekik I; Pan Z; Liu X; Lin Y; Lu B; Shi J
    Neuroimage; 2021 Dec; 244():118568. PubMed ID: 34508895
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels.
    Lu Y; Shen Y; Xing X; Ye C; Meng MQ
    Comput Med Imaging Graph; 2023 Apr; 105():102199. PubMed ID: 36805709
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network.
    Lei T; Zhang D; Du X; Wang X; Wan Y; Nandi AK
    IEEE Trans Med Imaging; 2023 May; 42(5):1265-1277. PubMed ID: 36449588
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
    Xia Y; Yang D; Yu Z; Liu F; Cai J; Yu L; Zhu Z; Xu D; Yuille A; Roth H
    Med Image Anal; 2020 Oct; 65():101766. PubMed ID: 32623276
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Confidence-guided mask learning for semi-supervised medical image segmentation.
    Li W; Lu W; Chu J; Tian Q; Fan F
    Comput Biol Med; 2023 Oct; 165():107398. PubMed ID: 37688993
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.
    Xie Y; Zhang J; Liao Z; Verjans J; Shen C; Xia Y
    IEEE Trans Image Process; 2022; 31():894-905. PubMed ID: 34951847
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. MF-Net: Multi-Scale Information Fusion Network for CNV Segmentation in Retinal OCT Images.
    Meng Q; Wang L; Wang T; Wang M; Zhu W; Shi F; Chen Z; Chen X
    Front Neurosci; 2021; 15():743769. PubMed ID: 34690681
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Coarse-Refined Consistency Learning Using Pixel-Level Features for Semi-Supervised Medical Image Segmentation.
    Du J; Zhang X; Liu P; Wang T
    IEEE J Biomed Health Inform; 2023 Aug; 27(8):3970-3981. PubMed ID: 37220034
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
    Wang K; Wang Y; Zhan B; Yang Y; Zu C; Wu X; Zhou J; Nie D; Zhou L
    Int J Neural Syst; 2022 Sep; 32(9):2250043. PubMed ID: 35912583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.