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        PAGES = "379-387",
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@article{bb172854,
        AUTHOR = "Srinidhi, C.L. and Aparna, P. and Rajan, J.",
        TITLE = "Automated Method for Retinal Artery/Vein Separation via Graph Search
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        JOURNAL = IP,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168290"}

@article{bb172855,
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        TITLE = "Retinal Blood Vessel Caliber Estimation for Optical Coherence
Tomography Angiography Images Based on 3D Superellipsoid Modeling",
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        VOLUME = "19",
        YEAR = "2019",
        NUMBER = "2 2019",
        PAGES = "1950011",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168291"}

@article{bb172856,
        AUTHOR = "Deepa, V. and Kumar, C.S. and Andrews, S.S.",
        TITLE = "Automated detection of microaneurysms using Stockwell transform and
statistical features",
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        NUMBER = "8",
        MONTH = "June",
        PAGES = "1341-1348",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168292"}

@article{bb172857,
        AUTHOR = "Dharmawan, D.A. and Ng, B.P. and Borijindargoon, N.",
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@article{bb172858,
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        TITLE = "Vessel Optimal Transport for Automated Alignment of Retinal Fundus
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@article{bb172859,
        AUTHOR = "Wang, W.H. and Wang, W.Q. and Hu, Z.",
        TITLE = "Retinal vessel segmentation approach based on corrected morphological
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        YEAR = "2019",
        NUMBER = "13",
        MONTH = "November",
        PAGES = "2538-2547",
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@article{bb172860,
        AUTHOR = "Yang, Y. and Shao, F. and Fu, Z.Q. and Fu, R.",
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@article{bb172861,
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        TITLE = "GGM classifier with multi-scale line detectors for retinal vessel
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@article{bb172862,
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        TITLE = "Blood Vessels Segmentation Method for Retinal Fundus Images Based On
Adaptive Principal Curvature and Image Derivative Operators",
        BOOKTITLE = PTVSBB19,
        YEAR = "2019",
        PAGES = "211-218",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168300"}

@inproceedings{bb172865,
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        TITLE = "Residual U-Net for Retinal Vessel Segmentation",
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        YEAR = "2019",
        PAGES = "1425-1429",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168301"}

@inproceedings{bb172866,
        AUTHOR = "Trimeche, I. and Rossant, F. and Bloch, I. and Paques, M.",
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Ophthalmoscopy Images",
        BOOKTITLE = ICIP19,
        YEAR = "2019",
        PAGES = "1490-1494",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168302"}

@inproceedings{bb172867,
        AUTHOR = "Cherukuri, V. and Kumar B G, V. and Bala, R. and Monga, V.",
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        YEAR = "2019",
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Retinal Images Based on Style Transfer",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168304"}

@inproceedings{bb172869,
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        BOOKTITLE = IbPRIA19,
        YEAR = "2019",
        PAGES = "II:98-107",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168305"}

@inproceedings{bb172870,
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Methods",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168306"}

@inproceedings{bb172871,
        AUTHOR = "Araujo, R.J. and Cardoso, J.S. and Oliveira, H.P.",
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Segmentation in Raw Fundus Images",
        BOOKTITLE = CIAP19,
        YEAR = "2019",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical854v1.html#TT168307"}

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        AUTHOR = "He, Q. and Zou, B. and Zhu, C. and Liu, X. and Fu, H. and Wang, L.",
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@inproceedings{bb172876,
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Deep Neural Networks: A Novel Training Data Generation Approach",
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@inproceedings{bb172879,
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@inproceedings{bb172883,
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@inproceedings{bb172884,
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@inproceedings{bb172885,
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@inproceedings{bb172886,
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@inproceedings{bb172887,
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@inproceedings{bb172888,
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@inproceedings{bb172889,
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@inproceedings{bb172891,
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@inproceedings{bb172892,
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@inproceedings{bb172893,
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@inproceedings{bb172898,
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@inproceedings{bb172899,
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Last update:Feb 20, 2020 at 21:34:09