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Journal Abstract Search

1218 related items for PubMed ID: 37011426

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. Normalization of HE-stained histological images using cycle consistent generative adversarial networks.
    Runz M, Rusche D, Schmidt S, Weihrauch MR, Hesser J, Weis CA.
    Diagn Pathol; 2021 Aug 06; 16(1):71. PubMed ID: 34362386
    [Abstract] [Full Text] [Related]

  • 3. Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks.
    Barrera K, Rodellar J, Alférez S, Merino A.
    Comput Methods Programs Biomed; 2023 Oct 06; 240():107629. PubMed ID: 37301181
    [Abstract] [Full Text] [Related]

  • 4. Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN.
    Barua B, Bora K, Kr Das A, Ahmed GN, Rahman T.
    Comput Med Imaging Graph; 2023 Jun 06; 106():102202. PubMed ID: 36857953
    [Abstract] [Full Text] [Related]

  • 5. Stain transfer using Generative Adversarial Networks and disentangled features.
    Moghadam AZ, Azarnoush H, Seyyedsalehi SA, Havaei M.
    Comput Biol Med; 2022 Mar 06; 142():105219. PubMed ID: 35026572
    [Abstract] [Full Text] [Related]

  • 6. 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 06; 175():108410. PubMed ID: 38678938
    [Abstract] [Full Text] [Related]

  • 7. Colour adaptive generative networks for stain normalisation of histopathology images.
    Cong C, Liu S, Di Ieva A, Pagnucco M, Berkovsky S, Song Y.
    Med Image Anal; 2022 Nov 06; 82():102580. PubMed ID: 36113326
    [Abstract] [Full Text] [Related]

  • 8. A GAN-based image synthesis method for skin lesion classification.
    Qin Z, Liu Z, Zhu P, Xue Y.
    Comput Methods Programs Biomed; 2020 Oct 06; 195():105568. PubMed ID: 32526536
    [Abstract] [Full Text] [Related]

  • 9. Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology.
    Salvi M, Michielli N, Molinari F.
    Comput Methods Programs Biomed; 2020 Sep 06; 193():105506. PubMed ID: 32353672
    [Abstract] [Full Text] [Related]

  • 10. Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
    Tellez D, Litjens G, Bándi P, Bulten W, Bokhorst JM, Ciompi F, van der Laak J.
    Med Image Anal; 2019 Dec 06; 58():101544. PubMed ID: 31466046
    [Abstract] [Full Text] [Related]

  • 11. Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images.
    Hetz MJ, Bucher TC, Brinker TJ.
    Med Image Anal; 2024 May 06; 94():103149. PubMed ID: 38574542
    [Abstract] [Full Text] [Related]

  • 12. DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks.
    Salvi M, Branciforti F, Veronese F, Zavattaro E, Tarantino V, Savoia P, Meiburger KM.
    Comput Methods Programs Biomed; 2022 Oct 06; 225():107040. PubMed ID: 35932723
    [Abstract] [Full Text] [Related]

  • 13. Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal.
    Martos O, Hoque MZ, Keskinarkaus A, Kemi N, Näpänkangas J, Eskuri M, Pohjanen VM, Kauppila JH, Seppänen T.
    Pathol Res Pract; 2023 Aug 06; 248():154694. PubMed ID: 37494804
    [Abstract] [Full Text] [Related]

  • 14. A High-Performance System for Robust Stain Normalization of Whole-Slide Images in Histopathology.
    Anghel A, Stanisavljevic M, Andani S, Papandreou N, Rüschoff JH, Wild P, Gabrani M, Pozidis H.
    Front Med (Lausanne); 2019 Aug 06; 6():193. PubMed ID: 31632974
    [Abstract] [Full Text] [Related]

  • 15. Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform.
    Sharkas M, Attallah O.
    Sci Rep; 2024 Mar 22; 14(1):6914. PubMed ID: 38519513
    [Abstract] [Full Text] [Related]

  • 16. Unsupervised many-to-many stain translation for histological image augmentation to improve classification accuracy.
    Berijanian M, Schaadt NS, Huang B, Lotz J, Feuerhake F, Merhof D.
    J Pathol Inform; 2023 Mar 22; 14():100195. PubMed ID: 36844704
    [Abstract] [Full Text] [Related]

  • 17. GAN-Based Image Colorization for Self-Supervised Visual Feature Learning.
    Treneska S, Zdravevski E, Pires IM, Lameski P, Gievska S.
    Sensors (Basel); 2022 Feb 18; 22(4):. PubMed ID: 35214498
    [Abstract] [Full Text] [Related]

  • 18. SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains.
    Ko K, Yeom T, Lee M.
    Neural Netw; 2023 May 18; 162():330-339. PubMed ID: 36940493
    [Abstract] [Full Text] [Related]

  • 19. Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.
    Hazra D, Byun YC, Kim WJ.
    Comput Methods Programs Biomed; 2022 Sep 18; 224():107019. PubMed ID: 35878483
    [Abstract] [Full Text] [Related]

  • 20. Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).
    Barrera K, Merino A, Molina A, Rodellar J.
    Comput Methods Programs Biomed; 2023 Feb 18; 229():107314. PubMed ID: 36565666
    [Abstract] [Full Text] [Related]

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