BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

449 related articles for article (PubMed ID: 29059964)

  • 1. Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks.
    Joonyoung Song ; Boreom Lee
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():681-684. PubMed ID: 29059964
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Scale-space approximated convolutional neural networks for retinal vessel segmentation.
    Noh KJ; Park SJ; Lee S
    Comput Methods Programs Biomed; 2019 Sep; 178():237-246. PubMed ID: 31416552
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model.
    Gegundez-Arias ME; Marin-Santos D; Perez-Borrero I; Vasallo-Vazquez MJ
    Comput Methods Programs Biomed; 2021 Jun; 205():106081. PubMed ID: 33882418
    [TBL] [Abstract][Full Text] [Related]  

  • 4. NFN+: A novel network followed network for retinal vessel segmentation.
    Wu Y; Xia Y; Song Y; Zhang Y; Cai W
    Neural Netw; 2020 Jun; 126():153-162. PubMed ID: 32222424
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artery vein classification in fundus images using serially connected U-Nets.
    Karlsson RA; Hardarson SH
    Comput Methods Programs Biomed; 2022 Apr; 216():106650. PubMed ID: 35139461
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel retinal vessel detection approach based on multiple deep convolution neural networks.
    Guo Y; Budak Ü; Şengür A
    Comput Methods Programs Biomed; 2018 Dec; 167():43-48. PubMed ID: 30501859
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation.
    Jiang Y; Yao H; Tao S; Liang J
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577384
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Grading of Retinal Blood Vessel in Deep Retinal Image Diagnosis.
    Maji D; Sekh AA
    J Med Syst; 2020 Sep; 44(10):180. PubMed ID: 32870389
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Retinal Vessel Segmentation using Round-wise Features Aggregation on Bracket-shaped Convolutional Neural Networks.
    Hua CH; Huynh-The T; Lee S
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():36-39. PubMed ID: 31945839
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Joint segmentation and classification of retinal arteries/veins from fundus images.
    Girard F; Kavalec C; Cheriet F
    Artif Intell Med; 2019 Mar; 94():96-109. PubMed ID: 30871687
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks.
    Sule O; Viriri S
    J Digit Imaging; 2023 Apr; 36(2):414-432. PubMed ID: 36456839
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images.
    Budak Ü; Cömert Z; Çıbuk M; Şengür A
    Med Hypotheses; 2020 Jan; 134():109426. PubMed ID: 31622926
    [TBL] [Abstract][Full Text] [Related]  

  • 13. VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation.
    Samuel PM; Veeramalai T
    Comput Methods Programs Biomed; 2021 Jan; 198():105769. PubMed ID: 33039919
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images.
    Liu Q; Zou B; Chen J; Ke W; Yue K; Chen Z; Zhao G
    Comput Med Imaging Graph; 2017 Jan; 55():78-86. PubMed ID: 27665058
    [TBL] [Abstract][Full Text] [Related]  

  • 15. BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation.
    Li D; Rahardja S
    Comput Methods Programs Biomed; 2021 Jun; 205():106070. PubMed ID: 33857703
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fundus image segmentation via hierarchical feature learning.
    Guo S
    Comput Biol Med; 2021 Nov; 138():104928. PubMed ID: 34662814
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images.
    Raza M; Naveed K; Akram A; Salem N; Afaq A; Madni HA; Khan MAU; Din MZ
    PLoS One; 2021; 16(12):e0261698. PubMed ID: 34972109
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks.
    Li K; Qi X; Luo Y; Yao Z; Zhou X; Sun M
    IEEE J Biomed Health Inform; 2021 Jun; 25(6):2071-2081. PubMed ID: 33001809
    [TBL] [Abstract][Full Text] [Related]  

  • 19. TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF.
    Zhang H; Ni W; Luo Y; Feng Y; Song R; Wang X
    Comput Biol Med; 2023 Jun; 159():106937. PubMed ID: 37084640
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation.
    Li Y; Zhang Y; Cui W; Lei B; Kuang X; Zhang T
    IEEE Trans Med Imaging; 2022 Aug; 41(8):1975-1989. PubMed ID: 35167444
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.