BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

287 related articles for article (PubMed ID: 30998470)

  • 1. Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes.
    Wang Q; Gao J; Li X
    IEEE Trans Image Process; 2019 Sep; 28(9):4376-4386. PubMed ID: 30998470
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes.
    Zhang Y; David P; Foroosh H; Gong B
    IEEE Trans Pattern Anal Mach Intell; 2020 Aug; 42(8):1823-1841. PubMed ID: 30843818
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification.
    Xing F; Bennett T; Ghosh D
    Med Image Comput Comput Assist Interv; 2019 Oct; 11764():740-749. PubMed ID: 31825019
    [TBL] [Abstract][Full Text] [Related]  

  • 5. ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.
    Liu Q; Gaeta IM; Zhao M; Deng R; Jha A; Millis BA; Mahadevan-Jansen A; Tyska MJ; Huo Y
    Comput Biol Med; 2021 Jul; 134():104501. PubMed ID: 34107436
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Weakly supervised mitosis detection in breast histopathology images using concentric loss.
    Li C; Wang X; Liu W; Latecki LJ; Wang B; Huang J
    Med Image Anal; 2019 Apr; 53():165-178. PubMed ID: 30798116
    [TBL] [Abstract][Full Text] [Related]  

  • 7. GAN-Based Image Colorization for Self-Supervised Visual Feature Learning.
    Treneska S; Zdravevski E; Pires IM; Lameski P; Gievska S
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214498
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The effects of different levels of realism on the training of CNNs with only synthetic images for the semantic segmentation of robotic instruments in a head phantom.
    Heredia Perez SA; Marques Marinho M; Harada K; Mitsuishi M
    Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1257-1265. PubMed ID: 32445129
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes.
    Shi Z; Yang Y; Hospedales TM; Xiang T
    IEEE Trans Pattern Anal Mach Intell; 2017 Dec; 39(12):2525-2538. PubMed ID: 28026753
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Affinity Space Adaptation for Semantic Segmentation Across Domains.
    Zhou W; Wang Y; Chu J; Yang J; Bai X; Xu Y
    IEEE Trans Image Process; 2021; 30():2549-2561. PubMed ID: 32870790
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation.
    Peng D; Lei Y; Liu L; Zhang P; Liu J
    IEEE Trans Image Process; 2021; 30():6594-6608. PubMed ID: 34270425
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Weakly Supervised Building Semantic Segmentation Based on Spot-Seeds and Refinement Process.
    Moghalles K; Li HC; Alazeb A
    Entropy (Basel); 2022 May; 24(5):. PubMed ID: 35626624
    [TBL] [Abstract][Full Text] [Related]  

  • 13. On the Importance of Visual Context for Data Augmentation in Scene Understanding.
    Dvornik N; Mairal J; Schmid C
    IEEE Trans Pattern Anal Mach Intell; 2021 Jun; 43(6):2014-2028. PubMed ID: 31880540
    [TBL] [Abstract][Full Text] [Related]  

  • 14. STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation.
    Yunchao Wei ; Xiaodan Liang ; Yunpeng Chen ; Xiaohui Shen ; Ming-Ming Cheng ; Jiashi Feng ; Yao Zhao ; Shuicheng Yan
    IEEE Trans Pattern Anal Mach Intell; 2017 Nov; 39(11):2314-2320. PubMed ID: 28114002
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Guided Filter Network for Semantic Image Segmentation.
    Zhang X; Zhao W; Zhang W; Peng J; Fan J
    IEEE Trans Image Process; 2022; 31():2695-2709. PubMed ID: 35320103
    [TBL] [Abstract][Full Text] [Related]  

  • 16. FBN: Weakly Supervised Thyroid Nodule Segmentation Optimized by Online Foreground and Background.
    Yu R; Yan S; Gao J; Zhao M; Fu X; Yan Y; Li M; Li X
    Ultrasound Med Biol; 2023 Sep; 49(9):1940-1950. PubMed ID: 37308370
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation.
    Zhang W; Xu D; Ouyang W; Li W
    IEEE Trans Pattern Anal Mach Intell; 2021 Jun; 43(6):2047-2061. PubMed ID: 31880543
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation.
    Chaturvedi K; Braytee A; Li J; Prasad M
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050712
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation.
    Li D; Peng Y; Sun J; Guo Y
    Med Biol Eng Comput; 2023 Oct; 61(10):2713-2732. PubMed ID: 37450212
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance.
    Gao J; Yuan Y; Wang Q
    IEEE Trans Cybern; 2021 Oct; 51(10):4822-4833. PubMed ID: 33259318
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.