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 *

151 related articles for article (PubMed ID: 37443654)

  • 1. Landmark-Assisted Anatomy-Sensitive Retinal Vessel Segmentation Network.
    Zhang H; Qiu Y; Song C; Li J
    Diagnostics (Basel); 2023 Jul; 13(13):. PubMed ID: 37443654
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN.
    Jiang Y; Liang J; Cheng T; Lin X; Zhang Y; Dong J
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746372
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. BSCN: bidirectional symmetric cascade network for retinal vessel segmentation.
    Guo Y; Peng Y
    BMC Med Imaging; 2020 Feb; 20(1):20. PubMed ID: 32070306
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network.
    Guo H; Meng J; Zhao Y; Zhang H; Dai C
    Phys Med Biol; 2024 Feb; 69(4):. PubMed ID: 38198716
    [No Abstract]   [Full Text] [Related]  

  • 7. Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss.
    Tan Y; Yang KF; Zhao SX; Li YJ
    IEEE Trans Med Imaging; 2022 Sep; 41(9):2238-2251. PubMed ID: 35320091
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Multi-level spatial-temporal and attentional information deep fusion network for retinal vessel segmentation.
    Huang Y; Deng T
    Phys Med Biol; 2023 Sep; 68(19):. PubMed ID: 37567227
    [No Abstract]   [Full Text] [Related]  

  • 10. MCFSA-Net: A multi-scale channel fusion and spatial activation network for retinal vessel segmentation.
    Li R; Li Z; Fan H; Teng S; Cao X
    J Biophotonics; 2023 Apr; 16(4):e202200295. PubMed ID: 36413066
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network.
    Lin G; Bai H; Zhao J; Yun Z; Chen Y; Pang S; Feng Q
    Med Phys; 2022 Jul; 49(7):4494-4507. PubMed ID: 35338781
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images.
    Wang B; Wang S; Qiu S; Wei W; Wang H; He H
    IEEE J Biomed Health Inform; 2021 Apr; 25(4):1128-1138. PubMed ID: 32750968
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MINet: Multi-scale input network for fundus microvascular segmentation.
    Li X; Song J; Jiao W; Zheng Y
    Comput Biol Med; 2023 Mar; 154():106608. PubMed ID: 36731364
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Feature preserving mesh network for semantic segmentation of retinal vasculature to support ophthalmic disease analysis.
    Imran SMA; Saleem MW; Hameed MT; Hussain A; Naqvi RA; Lee SW
    Front Med (Lausanne); 2022; 9():1040562. PubMed ID: 36714120
    [TBL] [Abstract][Full Text] [Related]  

  • 17. TP-Net: Two-Path Network for Retinal Vessel Segmentation.
    Qu Z; Zhuo L; Cao J; Li X; Yin H; Wang Z
    IEEE J Biomed Health Inform; 2023 Jan; PP():. PubMed ID: 37021912
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Supervised retinal vessel segmentation from color fundus images based on matched filtering and AdaBoost classifier.
    Memari N; Ramli AR; Bin Saripan MI; Mashohor S; Moghbel M
    PLoS One; 2017; 12(12):e0188939. PubMed ID: 29228036
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-level deep supervised networks for retinal vessel segmentation.
    Mo J; Zhang L
    Int J Comput Assist Radiol Surg; 2017 Dec; 12(12):2181-2193. PubMed ID: 28577175
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MFI-Net: A multi-resolution fusion input network for retinal vessel segmentation.
    Jiang Y; Wu C; Wang G; Yao HX; Liu WH
    PLoS One; 2021; 16(7):e0253056. PubMed ID: 34252111
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.