BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

307 related articles for article (PubMed ID: 35276550)

  • 1. Generative Adversarial Networks in Medical Image augmentation: A review.
    Chen Y; Yang XH; Wei Z; Heidari AA; Zheng N; Li Z; Chen H; Hu H; Zhou Q; Guan Q
    Comput Biol Med; 2022 May; 144():105382. PubMed ID: 35276550
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Medical Image Processing based on Generative Adversarial Networks: A Systematic Review.
    Liu J; Li K; Dong H; Han Y; Li R
    Curr Med Imaging; 2023 Oct; ():. PubMed ID: 37881080
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generative Adversarial Networks in Medical Image Processing.
    Gong M; Chen S; Chen Q; Zeng Y; Zhang Y
    Curr Pharm Des; 2021; 27(15):1856-1868. PubMed ID: 33238866
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation.
    Jeong JJ; Tariq A; Adejumo T; Trivedi H; Gichoya JW; Banerjee I
    J Digit Imaging; 2022 Apr; 35(2):137-152. PubMed ID: 35022924
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis.
    Saeed AQ; Sheikh Abdullah SNH; Che-Hamzah J; Abdul Ghani AT
    J Med Internet Res; 2021 Sep; 23(9):e27414. PubMed ID: 34236992
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review.
    Ali H; Shah Z
    JMIR Med Inform; 2022 Jun; 10(6):e37365. PubMed ID: 35709336
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Generative adversarial network in medical imaging: A review.
    Yi X; Walia E; Babyn P
    Med Image Anal; 2019 Dec; 58():101552. PubMed ID: 31521965
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Generative adversarial networks in medical image segmentation: A review.
    Xun S; Li D; Zhu H; Chen M; Wang J; Li J; Chen M; Wu B; Zhang H; Chai X; Jiang Z; Zhang Y; Huang P
    Comput Biol Med; 2022 Jan; 140():105063. PubMed ID: 34864584
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images.
    Motamed S; Rogalla P; Khalvati F
    Inform Med Unlocked; 2021; 27():100779. PubMed ID: 34841040
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generative adversarial networks with decoder-encoder output noises.
    Zhong G; Gao W; Liu Y; Yang Y; Wang DH; Huang K
    Neural Netw; 2020 Jul; 127():19-28. PubMed ID: 32315932
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A GAN-based image synthesis method for skin lesion classification.
    Qin Z; Liu Z; Zhu P; Xue Y
    Comput Methods Programs Biomed; 2020 Oct; 195():105568. PubMed ID: 32526536
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Attention-based generative adversarial network in medical imaging: A narrative review.
    Zhao J; Hou X; Pan M; Zhang H
    Comput Biol Med; 2022 Oct; 149():105948. PubMed ID: 35994931
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane Classification.
    Montero A; Bonet-Carne E; Burgos-Artizzu XP
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883977
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey.
    Iqbal A; Sharif M; Yasmin M; Raza M; Aftab S
    Int J Multimed Inf Retr; 2022; 11(3):333-368. PubMed ID: 35821891
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.
    Jin R; Li X
    Med Image Anal; 2023 Dec; 90():102965. PubMed ID: 37804585
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Generative adversarial networks in ophthalmology: what are these and how can they be used?
    Wang Z; Lim G; Ng WY; Keane PA; Campbell JP; Tan GSW; Schmetterer L; Wong TY; Liu Y; Ting DSW
    Curr Opin Ophthalmol; 2021 Sep; 32(5):459-467. PubMed ID: 34324454
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 16.