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Journal Abstract Search

706 related items for PubMed ID: 25700436

  • 1. Iterative Vessel Segmentation of Fundus Images.
    Roychowdhury S, Koozekanani DD, Parhi KK.
    IEEE Trans Biomed Eng; 2015 Jul; 62(7):1738-49. PubMed ID: 25700436
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  • 2. 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
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  • 5. [New Approach of Fundus Image Segmentation Evaluation Based on Topology Structure].
    Sheng H, Dai P, Liu Z, Zhang-Wen M, Zhao Y, Fan M.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Oct; 32(5):1100-5. PubMed ID: 26964319
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  • 7. 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
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  • 12. FABC: retinal vessel segmentation using AdaBoost.
    Lupascu CA, Tegolo D, Trucco E.
    IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1267-74. PubMed ID: 20529750
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  • 15. 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
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  • 16. 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 Sep; 2021():4761517. PubMed ID: 34122614
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  • 17. 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
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  • 18. Performance comparison of publicly available retinal blood vessel segmentation methods.
    Vostatek P, Claridge E, Uusitalo H, Hauta-Kasari M, Fält P, Lensu L.
    Comput Med Imaging Graph; 2017 Jan; 55():2-12. PubMed ID: 27515743
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