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 *

214 related articles for article (PubMed ID: 29744887)

  • 41. Retinal Vessel Automatic Segmentation Using SegNet.
    Xu X; Wang Y; Liang Y; Luo S; Wang J; Jiang W; Lai X
    Comput Math Methods Med; 2022; 2022():3117455. PubMed ID: 35378728
    [TBL] [Abstract][Full Text] [Related]  

  • 42. RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging.
    Hatamizadeh A; Hosseini H; Patel N; Choi J; Pole CC; Hoeferlin CM; Schwartz SD; Terzopoulos D
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):3272-3283. PubMed ID: 35349464
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Automatic blood vessels segmentation based on different retinal maps from OCTA scans.
    Eladawi N; Elmogy M; Helmy O; Aboelfetouh A; Riad A; Sandhu H; Schaal S; El-Baz A
    Comput Biol Med; 2017 Oct; 89():150-161. PubMed ID: 28806613
    [TBL] [Abstract][Full Text] [Related]  

  • 44. A Novel Single-Sample Retinal Vessel Segmentation Method Based on Grey Relational Analysis.
    Wang Y; Li H
    Sensors (Basel); 2024 Jul; 24(13):. PubMed ID: 39001106
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector.
    Sheng B; Li P; Mo S; Li H; Hou X; Wu Q; Qin J; Fang R; Feng DD
    IEEE Trans Cybern; 2019 Jul; 49(7):2707-2719. PubMed ID: 29994327
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Retinal blood vessel segmentation by using the MS-LSDNet network and geometric skeleton reconnection method.
    Du H; Zhang X; Song G; Bao F; Zhang Y; Wu W; Liu P
    Comput Biol Med; 2023 Feb; 153():106416. PubMed ID: 36586230
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Automated characterization of blood vessels as arteries and veins in retinal images.
    Mirsharif Q; Tajeripour F; Pourreza H
    Comput Med Imaging Graph; 2013; 37(7-8):607-17. PubMed ID: 23849699
    [TBL] [Abstract][Full Text] [Related]  

  • 48. SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation.
    Wu H; Wang W; Zhong J; Lei B; Wen Z; Qin J
    Med Image Anal; 2021 May; 70():102025. PubMed ID: 33721692
    [TBL] [Abstract][Full Text] [Related]  

  • 49. CPMF-Net: Multi-Feature Network Based on Collaborative Patches for Retinal Vessel Segmentation.
    Tang W; Deng H; Yin S
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501911
    [TBL] [Abstract][Full Text] [Related]  

  • 50. 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]  

  • 51. Retinal vascular tree reconstruction with anatomical realism.
    Lin KS; Tsai CL; Tsai CH; Sofka M; Chen SJ; Lin WY
    IEEE Trans Biomed Eng; 2012 Dec; 59(12):3337-47. PubMed ID: 22929368
    [TBL] [Abstract][Full Text] [Related]  

  • 52. An ensemble classification-based approach applied to retinal blood vessel segmentation.
    Fraz MM; Remagnino P; Hoppe A; Uyyanonvara B; Rudnicka AR; Owen CG; Barman SA
    IEEE Trans Biomed Eng; 2012 Sep; 59(9):2538-48. PubMed ID: 22736688
    [TBL] [Abstract][Full Text] [Related]  

  • 53. 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]  

  • 54. 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]  

  • 55. Retinal vessel segmentation in colour fundus images using Extreme Learning Machine.
    Zhu C; Zou B; Zhao R; Cui J; Duan X; Chen Z; Liang Y
    Comput Med Imaging Graph; 2017 Jan; 55():68-77. PubMed ID: 27289537
    [TBL] [Abstract][Full Text] [Related]  

  • 56. MAU-Net: A Retinal Vessels Segmentation Method.
    Li H; Wang Y; Wan C; Shen J; Chen Z; Ye H; Yu Q
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1958-1961. PubMed ID: 33018386
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images.
    Zhao Y; Rada L; Chen K; Harding SP; Zheng Y
    IEEE Trans Med Imaging; 2015 Sep; 34(9):1797-807. PubMed ID: 25769147
    [TBL] [Abstract][Full Text] [Related]  

  • 58. UNet retinal blood vessel segmentation algorithm based on improved pyramid pooling method and attention mechanism.
    Du XF; Wang JS; Sun WZ
    Phys Med Biol; 2021 Aug; 66(17):. PubMed ID: 34375955
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Automatic vessel crossing and bifurcation detection based on multi-attention network vessel segmentation and directed graph search.
    Wang G; Huang Y; Ma K; Duan Z; Luo Z; Xiao P; Yuan J
    Comput Biol Med; 2023 Mar; 155():106647. PubMed ID: 36848799
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods.
    Hashemzadeh M; Adlpour Azar B
    Artif Intell Med; 2019 Apr; 95():1-15. PubMed ID: 30904129
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.