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 *

554 related articles for article (PubMed ID: 34910634)

  • 1. Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation.
    Yi R; Huang Y; Guan Q; Pu M; Zhang R
    IEEE Trans Image Process; 2022; 31():623-635. PubMed ID: 34910634
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning from Weak and Noisy Labels for Semantic Segmentation.
    Zhiwu Lu ; Zhenyong Fu ; Tao Xiang ; Peng Han ; Liwei Wang ; Xin Gao
    IEEE Trans Pattern Anal Mach Intell; 2017 Mar; 39(3):486-500. PubMed ID: 28113885
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation.
    Wu L; Fang L; He X; He M; Ma J; Zhong Z
    IEEE Trans Pattern Anal Mach Intell; 2023 Jul; 45(7):8827-8844. PubMed ID: 37018311
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation.
    Zhang B; Xiao J; Jiao J; Wei Y; Zhao Y
    IEEE Trans Pattern Anal Mach Intell; 2022 Nov; 44(11):8082-8096. PubMed ID: 34033532
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Coarse-to-Fine Semantic Segmentation From Image-Level Labels.
    Jing L; Chen Y; Tian Y
    IEEE Trans Image Process; 2020; 29():225-236. PubMed ID: 31329556
    [TBL] [Abstract][Full Text] [Related]  

  • 7. PatchNet: Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation.
    Zhang K; Chen C; Yuan C; Chen S; Wang X; He X
    IEEE Trans Neural Netw Learn Syst; 2024 Aug; 35(8):10984-10995. PubMed ID: 37314912
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency.
    Mittal S; Tatarchenko M; Brox T
    IEEE Trans Pattern Anal Mach Intell; 2021 Apr; 43(4):1369-1379. PubMed ID: 31869780
    [TBL] [Abstract][Full Text] [Related]  

  • 9. S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
    Liu L; Zhang Z; Li S; Ma K; Zheng Y
    Med Image Anal; 2021 Dec; 74():102214. PubMed ID: 34464837
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic Segmentation.
    Xu L; Bennamoun M; Boussaid F; Ouyang W; Sohel F; Xu D
    IEEE Trans Neural Netw Learn Syst; 2024 Mar; PP():. PubMed ID: 38478447
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Group-Wise Learning for Weakly Supervised Semantic Segmentation.
    Zhou T; Li L; Li X; Feng CM; Li J; Shao L
    IEEE Trans Image Process; 2022; 31():799-811. PubMed ID: 34910633
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.
    Liu Y; Wu YH; Wen P; Shi Y; Qiu Y; Cheng MM
    IEEE Trans Pattern Anal Mach Intell; 2022 Mar; 44(3):1415-1428. PubMed ID: 32915726
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning to segment subcortical structures from noisy annotations with a novel uncertainty-reliability aware learning framework.
    Li X; Wei Y; Hu Q; Wang C; Yang J
    Comput Biol Med; 2022 Dec; 151(Pt B):106326. PubMed ID: 36442274
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SAC-Net: Learning with weak and noisy labels in histopathology image segmentation.
    Guo R; Xie K; Pagnucco M; Song Y
    Med Image Anal; 2023 May; 86():102790. PubMed ID: 36878159
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting.
    Song C; Ouyang W; Zhang Z
    IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):15996-16012. PubMed ID: 37531304
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation.
    Jiang S; Li J; Wang Y; Wu W; Zhang J; Huang B; Xu T
    IEEE Trans Neural Netw Learn Syst; 2024 Sep; 35(9):12494-12506. PubMed ID: 37037238
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning.
    Han Y; Cheng L; Huang G; Zhong G; Li J; Yuan X; Liu H; Li J; Zhou J; Cai M
    Phys Med Biol; 2023 Feb; 68(4):. PubMed ID: 36577142
    [No Abstract]   [Full Text] [Related]  

  • 18. Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation.
    Redondo-Cabrera C; Baptista-Rios M; Lopez-Sastre RJ
    IEEE Trans Image Process; 2019 Feb; ():. PubMed ID: 30802862
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization.
    Chikontwe P; Jung Sung H; Jeong J; Kim M; Go H; Jeong Nam S; Hyun Park S
    Med Image Anal; 2022 Aug; 80():102482. PubMed ID: 35688048
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 28.