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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

249 related articles for article (PubMed ID: 36008569)

  • 1. Retinal Vessel Segmentation, a Review of Classic and Deep Methods.
    Khandouzi A; Ariafar A; Mashayekhpour Z; Pazira M; Baleghi Y
    Ann Biomed Eng; 2022 Oct; 50(10):1292-1314. PubMed ID: 36008569
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Retinal blood vessel segmentation using fully convolutional network with transfer learning.
    Jiang Z; Zhang H; Wang Y; Ko SB
    Comput Med Imaging Graph; 2018 Sep; 68():1-15. PubMed ID: 29775951
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation.
    Yan Z; Yang X; Cheng KT
    IEEE J Biomed Health Inform; 2019 Jul; 23(4):1427-1436. PubMed ID: 30281503
    [TBL] [Abstract][Full Text] [Related]  

  • 5. G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation.
    Xu H; Wu Y
    Neural Netw; 2024 Aug; 176():106356. PubMed ID: 38723311
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. LMBiS-Net: A lightweight bidirectional skip connection based multipath CNN for retinal blood vessel segmentation.
    Matloob Abbasi M; Iqbal S; Aurangzeb K; Alhussein M; Khan TM
    Sci Rep; 2024 Jul; 14(1):15219. PubMed ID: 38956117
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Skip connection information enhancement network for retinal vessel segmentation.
    Liang J; Jiang Y; Yan H
    Med Biol Eng Comput; 2024 Oct; 62(10):3163-3178. PubMed ID: 38789838
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A retinal vessel segmentation network with multiple-dimension attention and adaptive feature fusion.
    Li J; Gao G; Yang L; Liu Y
    Comput Biol Med; 2024 Apr; 172():108315. PubMed ID: 38503093
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Hybrid Unsupervised Approach for Retinal Vessel Segmentation.
    Khan KB; Siddique MS; Ahmad M; Mazzara M
    Biomed Res Int; 2020; 2020():8365783. PubMed ID: 33381585
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation.
    Hu X; Wang L; Cheng S; Li Y
    PLoS One; 2021; 16(9):e0257013. PubMed ID: 34492064
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification.
    Mookiah MRK; Hogg S; MacGillivray TJ; Prathiba V; Pradeepa R; Mohan V; Anjana RM; Doney AS; Palmer CNA; Trucco E
    Med Image Anal; 2021 Feb; 68():101905. PubMed ID: 33385700
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation.
    Ryu J; Rehman MU; Nizami IF; Chong KT
    Comput Biol Med; 2023 Sep; 163():107132. PubMed ID: 37343468
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Detailed Systematic Review on Retinal Image Segmentation Methods.
    Panda NR; Sahoo AK
    J Digit Imaging; 2022 Oct; 35(5):1250-1270. PubMed ID: 35508746
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation.
    Chen D; Yang W; Wang L; Tan S; Lin J; Bu W
    PLoS One; 2022; 17(1):e0262689. PubMed ID: 35073371
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated techniques for blood vessels segmentation through fundus retinal images: A review.
    Akbar S; Sharif M; Akram MU; Saba T; Mahmood T; Kolivand M
    Microsc Res Tech; 2019 Feb; 82(2):153-170. PubMed ID: 30614150
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A cognitive deep learning approach for medical image processing.
    Fakhouri HN; Alawadi S; Awaysheh FM; Alkhabbas F; Zraqou J
    Sci Rep; 2024 Feb; 14(1):4539. PubMed ID: 38402321
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hard Attention Net for Automatic Retinal Vessel Segmentation.
    Wang D; Haytham A; Pottenburgh J; Saeedi O; Tao Y
    IEEE J Biomed Health Inform; 2020 Dec; 24(12):3384-3396. PubMed ID: 32750941
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.