BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 33341476)

  • 1. Unsupervised sorting of retinal vessels using locally consistent Gaussian mixtures.
    Relan D; Relan R
    Comput Methods Programs Biomed; 2021 Feb; 199():105894. PubMed ID: 33341476
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiscale self-quotient filtering for an improved unsupervised retinal blood vessels characterisation.
    Relan D; Relan R
    Biomed Eng Lett; 2018 Feb; 8(1):59-68. PubMed ID: 30603190
    [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. Retinal vessel classification: sorting arteries and veins.
    Relan D; MacGillivray T; Ballerini L; Trucco E
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():7396-9. PubMed ID: 24111454
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Retinal vascular segmentation using superpixel-based line operator and its application to vascular topology estimation.
    Na T; Xie J; Zhao Y; Zhao Y; Liu Y; Wang Y; Liu J
    Med Phys; 2018 Jul; 45(7):3132-3146. PubMed ID: 29744887
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification.
    Roychowdhury S; Koozekanani DD; Parhi KK
    IEEE J Biomed Health Inform; 2015 May; 19(3):1118-28. PubMed ID: 25014980
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models.
    Lu P; Xia J; Li Z; Xiong J; Yang J; Zhou S; Wang L; Chen M; Wang C
    Biomed Eng Online; 2016 Nov; 15(1):120. PubMed ID: 27825346
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Multiscale Joint Optimization Strategy for Retinal Vascular Segmentation.
    Yan M; Zhou J; Luo C; Xu T; Xing X
    Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35162002
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Manifold regularized semi-supervised Gaussian mixture model.
    Gan H; Sang N; Huang R
    J Opt Soc Am A Opt Image Sci Vis; 2015 Apr; 32(4):566-75. PubMed ID: 26366765
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Unsupervised Approach for Extraction of Blood Vessels from Fundus Images.
    Dash J; Bhoi N
    J Digit Imaging; 2018 Dec; 31(6):857-868. PubMed ID: 29700648
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation.
    Khawaja A; Khan TM; Khan MAU; Nawaz SJ
    Sensors (Basel); 2019 Nov; 19(22):. PubMed ID: 31766276
    [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. [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]  

  • 17. Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules.
    Badawi SA; Fraz MM
    Biomed Res Int; 2019; 2019():4747230. PubMed ID: 31111055
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Unsupervised fuzzy based vessel segmentation in pathological digital fundus images.
    Kande GB; Subbaiah PV; Savithri TS
    J Med Syst; 2010 Oct; 34(5):849-58. PubMed ID: 20703624
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated image quality appraisal through partial least squares discriminant analysis.
    Ramani RG; Shanthamalar JJ
    Int J Comput Assist Radiol Surg; 2022 Jul; 17(7):1367-1377. PubMed ID: 35650346
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.