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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

156 related items for PubMed ID: 38393285

  • 1.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 2. Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets.
    Saini M, Susan S.
    Comput Biol Med; 2022 Oct; 149():105989. PubMed ID: 36037631
    [Abstract] [Full Text] [Related]

  • 3. A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique.
    AbdelMaksoud E, Barakat S, Elmogy M.
    Med Biol Eng Comput; 2022 Jul; 60(7):2015-2038. PubMed ID: 35545738
    [Abstract] [Full Text] [Related]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 10. IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.
    Porwal P, Pachade S, Kokare M, Deshmukh G, Son J, Bae W, Liu L, Wang J, Liu X, Gao L, Wu T, Xiao J, Wang F, Yin B, Wang Y, Danala G, He L, Choi YH, Lee YC, Jung SH, Li Z, Sui X, Wu J, Li X, Zhou T, Toth J, Baran A, Kori A, Chennamsetty SS, Safwan M, Alex V, Lyu X, Cheng L, Chu Q, Li P, Ji X, Zhang S, Shen Y, Dai L, Saha O, Sathish R, Melo T, Araújo T, Harangi B, Sheng B, Fang R, Sheet D, Hajdu A, Zheng Y, Mendonça AM, Zhang S, Campilho A, Zheng B, Shen D, Giancardo L, Quellec G, Mériaudeau F.
    Med Image Anal; 2020 Jan; 59():101561. PubMed ID: 31671320
    [Abstract] [Full Text] [Related]

  • 11. DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images.
    Araújo T, Aresta G, Mendonça L, Penas S, Maia C, Carneiro Â, Mendonça AM, Campilho A.
    Med Image Anal; 2020 Jul; 63():101715. PubMed ID: 32434128
    [Abstract] [Full Text] [Related]

  • 12. Comparison review of image classification techniques for early diagnosis of diabetic retinopathy.
    Wangweera C, Zanini P.
    Biomed Phys Eng Express; 2024 Sep 05; 10(6):. PubMed ID: 39173657
    [Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14. Artificial intelligence based glaucoma and diabetic retinopathy detection using MATLAB - retrained AlexNet convolutional neural network.
    Arias-Serrano I, Velásquez-López PA, Avila-Briones LN, Laurido-Mora FC, Villalba-Meneses F, Tirado-Espin A, Cruz-Varela J, Almeida-Galárraga D.
    F1000Res; 2023 Sep 05; 12():14. PubMed ID: 38826575
    [Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. Collaborative Deep Learning for Privacy Preserving Diabetic Retinopathy Detection.
    Karakaya M, Aygun RS, Sallam AB.
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul 05; 2022():2181-2184. PubMed ID: 36086040
    [Abstract] [Full Text] [Related]

  • 18. Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy.
    Mohanty C, Mahapatra S, Acharya B, Kokkoras F, Gerogiannis VC, Karamitsos I, Kanavos A.
    Sensors (Basel); 2023 Jun 19; 23(12):. PubMed ID: 37420891
    [Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Retinal images benchmark for the detection of diabetic retinopathy and clinically significant macular edema (CSME).
    Noor-Ul-Huda M, Tehsin S, Ahmed S, Niazi FAK, Murtaza Z.
    Biomed Tech (Berl); 2019 May 27; 64(3):297-307. PubMed ID: 30055096
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 8.