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 *

215 related articles for article (PubMed ID: 32504830)

  • 1. Fréchet PDF based Matched Filter Approach for Retinal Blood Vessels Segmentation.
    Saroj SK; Kumar R; Singh NP
    Comput Methods Programs Biomed; 2020 Oct; 194():105490. PubMed ID: 32504830
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Retinal blood vessels segmentation by using Gumbel probability distribution function based matched filter.
    Singh NP; Srivastava R
    Comput Methods Programs Biomed; 2016 Jun; 129():40-50. PubMed ID: 27084319
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering.
    Ramos-Soto O; Rodríguez-Esparza E; Balderas-Mata SE; Oliva D; Hassanien AE; Meleppat RK; Zawadzki RJ
    Comput Methods Programs Biomed; 2021 Apr; 201():105949. PubMed ID: 33567382
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An efficient registration-based approach for retinal blood vessel segmentation using generalized Pareto and fatigue pdf.
    Kumar KS; Singh NP
    Med Eng Phys; 2022 Dec; 110():103936. PubMed ID: 36529622
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. [Retinal Vessel Segmentation Based on Multiscale Matched Filtering].
    Zhang Y; Zhang Y; Sha X
    Zhongguo Yi Liao Qi Xie Za Zhi; 2020 Feb; 44(2):108-112. PubMed ID: 32400981
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmentation of retinal blood vessels by a novel hybrid technique- Principal Component Analysis (PCA) and Contrast Limited Adaptive Histogram Equalization (CLAHE).
    Sidhu RK; Sachdeva J; Katoch D
    Microvasc Res; 2023 Jul; 148():104477. PubMed ID: 36746364
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Retinal blood vessel extraction using tunable bandpass filter and fuzzy conditional entropy.
    Sil Kar S; Maity SP
    Comput Methods Programs Biomed; 2016 Sep; 133():111-132. PubMed ID: 27393804
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new robust method for blood vessel segmentation in retinal fundus images based on weighted line detector and hidden Markov model.
    Zhou C; Zhang X; Chen H
    Comput Methods Programs Biomed; 2020 Apr; 187():105231. PubMed ID: 31786454
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Retinal Vessel Segmentation Based on B-COSFIRE Filters in Fundus Images.
    Li W; Xiao Y; Hu H; Zhu C; Wang H; Liu Z; Sangaiah AK
    Front Public Health; 2022; 10():914973. PubMed ID: 36159307
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Segmenting retinal vessels with revised top-bottom-hat transformation and flattening of minimum circumscribed ellipse.
    Wang W; Wang W; Hu Z
    Med Biol Eng Comput; 2019 Jul; 57(7):1481-1496. PubMed ID: 30903529
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Blood Vessel Segmentation of Fundus Retinal Images Based on Improved Frangi and Mathematical Morphology.
    Tian F; Li Y; Wang J; Chen W
    Comput Math Methods Med; 2021; 2021():4761517. PubMed ID: 34122614
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new two-dimensional matched filter based on the modified Chebyshev type I function for retinal vessels detection.
    Dharmawan DA; Boon Poh Ng
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():369-372. PubMed ID: 29059887
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An accurate unsupervised extraction of retinal vasculature using curvelet transform and classical morphological operators.
    Ghislain F; Beaudelaire ST; Daniel T
    Comput Biol Med; 2024 Aug; 178():108801. PubMed ID: 38917533
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multichannel Retinal Blood Vessel Segmentation Based on the Combination of Matched Filter and U-Net Network.
    Ma Y; Zhu Z; Dong Z; Shen T; Sun M; Kong W
    Biomed Res Int; 2021; 2021():5561125. PubMed ID: 34124247
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Segmentation of Retinal Blood Vessels Based on Cake Filter.
    Bao XR; Ge X; She LH; Zhang S
    Biomed Res Int; 2015; 2015():137024. PubMed ID: 26636095
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation.
    Annunziata R; Garzelli A; Ballerini L; Mecocci A; Trucco E
    IEEE J Biomed Health Inform; 2016 Jul; 20(4):1129-38. PubMed ID: 26054078
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adaptive thresholding technique for retinal vessel segmentation based on GLCM-energy information.
    Mapayi T; Viriri S; Tapamo JR
    Comput Math Methods Med; 2015; 2015():597475. PubMed ID: 25802550
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region Based Otsu Thresholding.
    BahadarKhan K; A Khaliq A; Shahid M
    PLoS One; 2016; 11(7):e0158996. PubMed ID: 27441646
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.