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 *

425 related articles for article (PubMed ID: 34814059)

  • 1. High resolution histopathology image generation and segmentation through adversarial training.
    Li W; Li J; Polson J; Wang Z; Speier W; Arnold C
    Med Image Anal; 2022 Jan; 75():102251. PubMed ID: 34814059
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks.
    Díaz-Francés JÁ; Fernández-Rodríguez JD; Thurnhofer-Hemsi K; López-Rubio E
    Int J Neural Syst; 2024 Nov; 34(11):2450057. PubMed ID: 39155691
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semi-supervised semantic segmentation of prostate and organs-at-risk on 3D pelvic CT images.
    Zhang Z; Zhao T; Gay H; Zhang W; Sun B
    Biomed Phys Eng Express; 2021 Oct; 7(6):. PubMed ID: 34525455
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.
    Bargsten L; Schlaefer A
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1427-1436. PubMed ID: 32556953
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 2S-BUSGAN: A Novel Generative Adversarial Network for Realistic Breast Ultrasound Image with Corresponding Tumor Contour Based on Small Datasets.
    Luo J; Zhang H; Zhuang Y; Han L; Chen K; Hua Z; Li C; Lin J
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896706
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
    Han L; Huang Y; Dou H; Wang S; Ahamad S; Luo H; Liu Q; Fan J; Zhang J
    Comput Methods Programs Biomed; 2020 Jun; 189():105275. PubMed ID: 31978805
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks.
    Amirrajab S; Al Khalil Y; Lorenz C; Weese J; Pluim J; Breeuwer M
    Comput Med Imaging Graph; 2022 Oct; 101():102123. PubMed ID: 36174308
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Generative Adversarial Networks in Digital Histopathology: Current Applications, Limitations, Ethical Considerations, and Future Directions.
    Alajaji SA; Khoury ZH; Elgharib M; Saeed M; Ahmed ARH; Khan MB; Tavares T; Jessri M; Puche AC; Hoorfar H; Stojanov I; Sciubba JJ; Sultan AS
    Mod Pathol; 2024 Jan; 37(1):100369. PubMed ID: 37890670
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Image generation by GAN and style transfer for agar plate image segmentation.
    Andreini P; Bonechi S; Bianchini M; Mecocci A; Scarselli F
    Comput Methods Programs Biomed; 2020 Feb; 184():105268. PubMed ID: 31891902
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cross-domain attention-guided generative data augmentation for medical image analysis with limited data.
    Xu Z; Tang J; Qi C; Yao D; Liu C; Zhan Y; Lukasiewicz T
    Comput Biol Med; 2024 Jan; 168():107744. PubMed ID: 38006826
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SUSAN: segment unannotated image structure using adversarial network.
    Liu F
    Magn Reson Med; 2019 May; 81(5):3330-3345. PubMed ID: 30536427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation.
    Wang G; Zhou M; Ning X; Tiwari P; Zhu H; Yang G; Yap CH
    Comput Biol Med; 2024 Apr; 172():108282. PubMed ID: 38503085
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Enhancing MR image segmentation with realistic adversarial data augmentation.
    Chen C; Qin C; Ouyang C; Li Z; Wang S; Qiu H; Chen L; Tarroni G; Bai W; Rueckert D
    Med Image Anal; 2022 Nov; 82():102597. PubMed ID: 36095907
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.
    Valvano G; Leo A; Tsaftaris SA
    IEEE Trans Med Imaging; 2021 Aug; 40(8):1990-2001. PubMed ID: 33784616
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations.
    Xing X; Papanastasiou G; Walsh S; Yang G
    IEEE Trans Med Imaging; 2023 Sep; 42(9):2566-2576. PubMed ID: 37030699
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning.
    Hasan SMK; Linte CA
    Appl Sci (Basel); 2022 Dec; 12(23):. PubMed ID: 37125242
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Synthetic augmentation for semantic segmentation of class imbalanced biomedical images: A data pair generative adversarial network approach.
    Chai L; Wang Z; Chen J; Zhang G; Alsaadi FE; Alsaadi FE; Liu Q
    Comput Biol Med; 2022 Nov; 150():105985. PubMed ID: 36137319
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A deep learning segmentation strategy that minimizes the amount of manually annotated images.
    Pécot T; Alekseyenko A; Wallace K
    F1000Res; 2021; 10():256. PubMed ID: 35136569
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
    Tong N; Gou S; Yang S; Cao M; Sheng K
    Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.