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

159 related items for PubMed ID: 39173657

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

  • 2. UC-stack: a deep learning computer automatic detection system for diabetic retinopathy classification.
    Fu Y, Wei Y, Chen S, Chen C, Zhou R, Li H, Qiu M, Xie J, Huang D.
    Phys Med Biol; 2024 Feb 12; 69(4):. PubMed ID: 38271723
    [Abstract] [Full Text] [Related]

  • 3. A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric.
    Chilukoti SV, Shan L, Tida VS, Maida AS, Hei X.
    BMC Med Inform Decis Mak; 2024 Feb 06; 24(1):37. PubMed ID: 38321416
    [Abstract] [Full Text] [Related]

  • 4. Diabetic retinopathy prediction based on vision transformer and modified capsule network.
    Oulhadj M, Riffi J, Khodriss C, Mahraz AM, Yahyaouy A, Abdellaoui M, Andaloussi IB, Tairi H.
    Comput Biol Med; 2024 Jun 06; 175():108523. PubMed ID: 38701591
    [Abstract] [Full Text] [Related]

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

  • 6. Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey.
    Asiri N, Hussain M, Al Adel F, Alzaidi N.
    Artif Intell Med; 2019 Aug 06; 99():101701. PubMed ID: 31606116
    [Abstract] [Full Text] [Related]

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

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

  • 9. An Early Detection and Classification of Alzheimer's Disease Framework Based on ResNet-50.
    Nithya VP, Mohanasundaram N, Santhosh R.
    Curr Med Imaging; 2024 Aug 06; 20():e250823220361. PubMed ID: 37622561
    [Abstract] [Full Text] [Related]

  • 10.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 12. Diabetic retinopathy classification based on multipath CNN and machine learning classifiers.
    Gayathri S, Gopi VP, Palanisamy P.
    Phys Eng Sci Med; 2021 Sep 06; 44(3):639-653. PubMed ID: 34033015
    [Abstract] [Full Text] [Related]

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

  • 14.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

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

  • 16. Diabetic retinopathy screening through artificial intelligence algorithms: A systematic review.
    Farahat Z, Zrira N, Souissi N, Bennani Y, Bencherif S, Benamar S, Belmekki M, Ngote MN, Megdiche K.
    Surv Ophthalmol; 2024 Sep 06; 69(5):707-721. PubMed ID: 38885761
    [Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18. DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs.
    Singh RK, Gorantla R.
    PLoS One; 2020 Sep 06; 15(2):e0220677. PubMed ID: 32040475
    [Abstract] [Full Text] [Related]

  • 19. Enhancing deep learning pre-trained networks on diabetic retinopathy fundus photographs with SLIC-G.
    Lim WX, Chen Z.
    Med Biol Eng Comput; 2024 Aug 06; 62(8):2571-2583. PubMed ID: 38649629
    [Abstract] [Full Text] [Related]

  • 20. Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis.
    Cao P, Ren F, Wan C, Yang J, Zaiane O.
    Comput Med Imaging Graph; 2018 Nov 06; 69():112-124. PubMed ID: 30237145
    [Abstract] [Full Text] [Related]

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