BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

132 related articles for article (PubMed ID: 38931561)

  • 1. Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks.
    Ruiz-Casado JL; Molina-Cabello MA; Luque-Baena RM
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931561
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.
    Sandfort V; Yan K; Pickhardt PJ; Summers RM
    Sci Rep; 2019 Nov; 9(1):16884. PubMed ID: 31729403
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN).
    Heenaye-Mamode Khan M; Gooda Sahib-Kaudeer N; Dayalen M; Mahomedaly F; Sinha GR; Nagwanshi KK; Taylor A
    Comput Intell Neurosci; 2022; 2022():1797471. PubMed ID: 35419047
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A survey on generative adversarial networks for imbalance problems in computer vision tasks.
    Sampath V; Maurtua I; Aguilar Martín JJ; Gutierrez A
    J Big Data; 2021; 8(1):27. PubMed ID: 33552840
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images.
    Sun LC; Pao SI; Huang KH; Wei CY; Lin KF; Chen PN
    Graefes Arch Clin Exp Ophthalmol; 2023 May; 261(5):1399-1412. PubMed ID: 36441228
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. High-content image generation for drug discovery using generative adversarial networks.
    Hussain S; Anees A; Das A; Nguyen BP; Marzuki M; Lin S; Wright G; Singhal A
    Neural Netw; 2020 Dec; 132():353-363. PubMed ID: 32977280
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis.
    Gheshlaghi SH; Nok Enoch Kan C; Ye DH
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3387-3390. PubMed ID: 34891966
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Generative artificial intelligence to produce high-fidelity blastocyst-stage embryo images.
    Cao P; Derhaag J; Coonen E; Brunner H; Acharya G; Salumets A; Zamani Esteki M
    Hum Reprod; 2024 Jun; 39(6):1197-1207. PubMed ID: 38600621
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Breast cancer pathological image classification based on deep learning.
    Hou Y
    J Xray Sci Technol; 2020; 28(4):727-738. PubMed ID: 32390646
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance.
    Niehues JM; Müller-Franzes G; Schirris Y; Wagner SJ; Jendrusch M; Kloor M; Pearson AT; Muti HS; Hewitt KJ; Veldhuizen GP; Zigutyte L; Truhn D; Kather JN
    Comput Biol Med; 2024 Jun; 175():108410. PubMed ID: 38678938
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image.
    Jameel SK; Aydin S; Ghaeb NH; Majidpour J; Rashid TA; Salih SQ; JosephNg PS
    Biomolecules; 2022 Dec; 12(12):. PubMed ID: 36551316
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Improved automatic detection of herpesvirus secondary envelopment stages in electron microscopy by augmenting training data with synthetic labelled images generated by a generative adversarial network.
    Shaga Devan K; Walther P; von Einem J; Ropinski T; A Kestler H; Read C
    Cell Microbiol; 2021 Feb; 23(2):e13280. PubMed ID: 33073426
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Latent Dirichlet allocation based generative adversarial networks.
    Pan L; Cheng S; Liu J; Tang P; Wang B; Ren Y; Xu Z
    Neural Netw; 2020 Dec; 132():461-476. PubMed ID: 33039785
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.
    Altini N; Marvulli TM; Zito FA; Caputo M; Tommasi S; Azzariti A; Brunetti A; Prencipe B; Mattioli E; De Summa S; Bevilacqua V
    Comput Methods Programs Biomed; 2023 Jun; 234():107511. PubMed ID: 37011426
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.