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Journal Abstract Search

524 related items for PubMed ID: 37896706

  • 1. 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 20; 23(20):. PubMed ID: 37896706
    [Abstract] [Full Text] [Related]

  • 2. 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 20; 189():105275. PubMed ID: 31978805
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  • 3. A medical image classification method based on self-regularized adversarial learning.
    Fan Z, Zhang X, Ruan S, Thorstad W, Gay H, Song P, Wang X, Li H.
    Med Phys; 2024 Nov 20; 51(11):8232-8246. PubMed ID: 39078069
    [Abstract] [Full Text] [Related]

  • 4. MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation.
    Huang K, Zhang Y, Cheng HD, Xing P.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov 20; 2021():3193-3196. PubMed ID: 34891920
    [Abstract] [Full Text] [Related]

  • 5. 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 20; 168():107744. PubMed ID: 38006826
    [Abstract] [Full Text] [Related]

  • 6. Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification.
    Pang T, Wong JHD, Ng WL, Chan CS.
    Comput Methods Programs Biomed; 2021 May 20; 203():106018. PubMed ID: 33714900
    [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 20; 15(9):1427-1436. PubMed ID: 32556953
    [Abstract] [Full Text] [Related]

  • 8. GSDA: Generative adversarial network-based semi-supervised data augmentation for ultrasound image classification.
    Liu Z, Lv Q, Lee CH, Shen L.
    Heliyon; 2023 Sep 20; 9(9):e19585. PubMed ID: 37809802
    [Abstract] [Full Text] [Related]

  • 9. A cGAN-based tumor segmentation method for breast ultrasound images.
    You G, Qin Y, Zhao C, Zhao Y, Zhu K, Yang X, Li YL.
    Phys Med Biol; 2023 Jun 21; 68(13):. PubMed ID: 37276866
    [Abstract] [Full Text] [Related]

  • 10. 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 21; 75():102251. PubMed ID: 34814059
    [Abstract] [Full Text] [Related]

  • 11. Active Appearance Model Induced Generative Adversarial Network for Controlled Data Augmentation.
    Liu J, Shen C, Liu T, Aguilera N, Tam J.
    Med Image Comput Comput Assist Interv; 2019 Oct 21; 11764():201-208. PubMed ID: 31696163
    [Abstract] [Full Text] [Related]

  • 12. Robust Data Augmentation Generative Adversarial Network for Object Detection.
    Lee H, Kang S, Chung K.
    Sensors (Basel); 2022 Dec 23; 23(1):. PubMed ID: 36616754
    [Abstract] [Full Text] [Related]

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  • 20. Fundus GAN - GAN-based Fundus Image Synthesis for Training Retinal Image Classifiers.
    Shenkut D, Bhagavatula V.
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul 23; 2022():2185-2189. PubMed ID: 36086632
    [Abstract] [Full Text] [Related]

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