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 *

146 related articles for article (PubMed ID: 32679455)

  • 1. A learning approach with incomplete pixel-level labels for deep neural networks.
    Nguyen NV; Rigaud C; Revel A; Burie JC
    Neural Netw; 2020 Oct; 130():111-125. PubMed ID: 32679455
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Iterative confidence relabeling with deep ConvNets for organ segmentation with partial labels.
    Petit O; Thome N; Soler L
    Comput Med Imaging Graph; 2021 Jul; 91():101938. PubMed ID: 34153879
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combo loss: Handling input and output imbalance in multi-organ segmentation.
    Taghanaki SA; Zheng Y; Kevin Zhou S; Georgescu B; Sharma P; Xu D; Comaniciu D; Hamarneh G
    Comput Med Imaging Graph; 2019 Jul; 75():24-33. PubMed ID: 31129477
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Constrained-CNN losses for weakly supervised segmentation.
    Kervadec H; Dolz J; Tang M; Granger E; Boykov Y; Ben Ayed I
    Med Image Anal; 2019 May; 54():88-99. PubMed ID: 30851541
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Guided Attention Inference Network.
    Li K; Wu Z; Peng KC; Ernst J; Fu Y
    IEEE Trans Pattern Anal Mach Intell; 2020 Dec; 42(12):2996-3010. PubMed ID: 31180839
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images.
    Zhang L; Chen K; Han L; Zhuang Y; Hua Z; Li C; Lin J
    J Xray Sci Technol; 2020; 28(6):1123-1139. PubMed ID: 32804114
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pixel-to-Pixel Learning With Weak Supervision for Single-Stage Nucleus Recognition in Ki67 Images.
    Xing F; Cornish TC; Bennett T; Ghosh D; Yang L
    IEEE Trans Biomed Eng; 2019 Nov; 66(11):3088-3097. PubMed ID: 30802845
    [TBL] [Abstract][Full Text] [Related]  

  • 8. White Matter Segmentation Algorithm for DTI Images Based on Super-Pixel Full Convolutional Network.
    Mu Y; Li Q; Zhang Y
    J Med Syst; 2019 Aug; 43(9):303. PubMed ID: 31407120
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Collaborative learning with corrupted labels.
    Wang Y; Huang R; Huang G; Song S; Wu C
    Neural Netw; 2020 May; 125():205-213. PubMed ID: 32145649
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Color clustering and learning for image segmentation based on neural networks.
    Dong G; Xie M
    IEEE Trans Neural Netw; 2005 Jul; 16(4):925-36. PubMed ID: 16121733
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Novel deep neural network based pattern field classification architectures.
    Huang K; Zhang S; Zhang R; Hussain A
    Neural Netw; 2020 Jul; 127():82-95. PubMed ID: 32344155
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.
    Cui Y; Zhang G; Liu Z; Xiong Z; Hu J
    Med Biol Eng Comput; 2019 Sep; 57(9):2027-2043. PubMed ID: 31346949
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification.
    Hao Wu ; Prasad S
    IEEE Trans Image Process; 2018 Mar; 27(3):1259-1270. PubMed ID: 29990156
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discretely-constrained deep network for weakly supervised segmentation.
    Peng J; Kervadec H; Dolz J; Ben Ayed I; Pedersoli M; Desrosiers C
    Neural Netw; 2020 Oct; 130():297-308. PubMed ID: 32721843
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Context-constrained multiple instance learning for histopathology image segmentation.
    Xu Y; Zhang J; Chang EI; Lai M; Tu Z
    Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):623-30. PubMed ID: 23286183
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.
    Yin S; Peng Q; Li H; Zhang Z; You X; Fischer K; Furth SL; Tasian GE; Fan Y
    Med Image Anal; 2020 Feb; 60():101602. PubMed ID: 31760193
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network.
    Prasoon A; Petersen K; Igel C; Lauze F; Dam E; Nielsen M
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):246-53. PubMed ID: 24579147
    [TBL] [Abstract][Full Text] [Related]  

  • 19. VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.
    Kitrungrotsakul T; Han XH; Iwamoto Y; Lin L; Foruzan AH; Xiong W; Chen YW
    Comput Med Imaging Graph; 2019 Jul; 75():74-83. PubMed ID: 31220699
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Real-time multiple spatiotemporal action localization and prediction approach using deep learning.
    Hammam AA; Soliman MM; Hassanien AE
    Neural Netw; 2020 Aug; 128():331-344. PubMed ID: 32470798
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.