BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

157 related articles for article (PubMed ID: 34460474)

  • 1. PixelBNN: Augmenting the PixelCNN with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation.
    Leopold HA; Orchard J; Zelek JS; Lakshminarayanan V
    J Imaging; 2019 Feb; 5(2):. PubMed ID: 34460474
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Fast and efficient retinal blood vessel segmentation method based on deep learning network.
    Boudegga H; Elloumi Y; Akil M; Hedi Bedoui M; Kachouri R; Abdallah AB
    Comput Med Imaging Graph; 2021 Jun; 90():101902. PubMed ID: 33892389
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-proportion channel ensemble model for retinal vessel segmentation.
    Tang P; Liang Q; Yan X; Zhang D; Coppola G; Sun W
    Comput Biol Med; 2019 Aug; 111():103352. PubMed ID: 31301636
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.
    Zhou L; Yu Q; Xu X; Gu Y; Yang J
    Comput Methods Programs Biomed; 2017 Sep; 148():13-25. PubMed ID: 28774435
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Diabetic and Hypertensive Retinopathy Screening in Fundus Images Using Artificially Intelligent Shallow Architectures.
    Arsalan M; Haider A; Choi J; Park KR
    J Pers Med; 2021 Dec; 12(1):. PubMed ID: 35055322
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 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. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation.
    Guo S; Wang K; Kang H; Zhang Y; Gao Y; Li T
    Int J Med Inform; 2019 Jun; 126():105-113. PubMed ID: 31029251
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Towards Automated Eye Diagnosis: An Improved Retinal Vessel Segmentation Framework Using Ensemble Block Matching 3D Filter.
    Naveed K; Abdullah F; Madni HA; Khan MAU; Khan TM; Naqvi SS
    Diagnostics (Basel); 2021 Jan; 11(1):. PubMed ID: 33445723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Retinal blood vessel segmentation based on Densely Connected U-Net.
    Cheng YL; Ma MN; Zhang LJ; Jin CJ; Ma L; Zhou Y
    Math Biosci Eng; 2020 Apr; 17(4):3088-3108. PubMed ID: 32987518
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.