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        YEAR = "2012",
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@article{bb173207,
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        TITLE = "Segmentation of Skin Lesions in 2-D and 3-D Ultrasound Images Using a
Spatially Coherent Generalized Rayleigh Mixture Model",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168666"}

@article{bb173208,
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melanoma",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168667"}

@article{bb173209,
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        TITLE = "Interactive Lesion Segmentation with Shape Priors From Offline and
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168668"}

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        TITLE = "3-D Volume Reconstruction of Skin Lesions for Melanin and Blood Volume
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@article{bb173223,
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@article{bb173251,
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@article{bb173252,
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@article{bb173253,
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@article{bb173254,
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        TITLE = "Fusion of structural and textural features for melanoma recognition",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168712"}

@article{bb173255,
        AUTHOR = "Filko, D. and Cupec, R. and Nyarko, E.K.",
        TITLE = "Wound measurement by RGB-D camera",
        JOURNAL = MVA,
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        YEAR = "2018",
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@article{bb173256,
        AUTHOR = "Li, C. and Brost, V. and Benezeth, Y. and Marzani, F. and Yang, F.",
        TITLE = "Design and evaluation of a parallel and optimized light-tissue
interaction-based method for fast skin lesion assessment",
        JOURNAL = RealTimeIP,
        VOLUME = "15",
        YEAR = "2018",
        NUMBER = "2",
        MONTH = "August",
        PAGES = "407-420",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168714"}

@article{bb173257,
        AUTHOR = "Ashour, A.S. and Hawas, A.R. and Guo, Y.H. and Wahba, M.A.",
        TITLE = "A novel optimized neutrosophic k-means using genetic algorithm for skin
lesion detection in dermoscopy images",
        JOURNAL = SIViP,
        VOLUME = "12",
        YEAR = "2018",
        NUMBER = "7",
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        PAGES = "1311-1318",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168715"}

@article{bb173258,
        AUTHOR = "Rundo, F. and Conoci, S. and Banna, G.L. and Ortis, A. and Stanco, F. and Battiato, S.",
        TITLE = "Evaluation of Levenberg-Marquardt neural networks and stacked
autoencoders clustering for skin lesion analysis, screening and
follow-up",
        JOURNAL = IET-CV,
        VOLUME = "12",
        YEAR = "2018",
        NUMBER = "7",
        MONTH = "October",
        PAGES = "957-962",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168716"}

@article{bb173259,
        AUTHOR = "Bi, L. and Kim, J.M. and Ahn, E. and Kumar, A. and Feng, D. and Fulham, M.",
        TITLE = "Step-wise integration of deep class-specific learning for dermoscopic
image segmentation",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168717"}

@article{bb173260,
        AUTHOR = "Do, T. and Hoang, T. and Pomponiu, V. and Zhou, Y. and Chen, Z. and Cheung, N. and Koh, D. and Tan, A. and Tan, S.",
        TITLE = "Accessible Melanoma Detection Using Smartphones and Mobile Image
Analysis",
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        YEAR = "2018",
        NUMBER = "10",
        MONTH = "October",
        PAGES = "2849-2864",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168718"}

@article{bb173261,
        AUTHOR = "Xia, Y. and Zhang, L. and Meng, L. and Yan, Y. and Nie, L. and Li, X.",
        TITLE = "Exploring Web Images to Enhance Skin Disease Analysis Under A
Computer Vision Framework",
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        PAGES = "3080-3091",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168719"}

@article{bb173262,
        AUTHOR = "Jaisakthi, S.M. and Mirunalini, P. and Aravindan, C.",
        TITLE = "Automated skin lesion segmentation of dermoscopic images using GrabCut
and k-means algorithms",
        JOURNAL = IET-CV,
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@article{bb173263,
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        TITLE = "Deep residual network with regularised fisher framework for detection
of melanoma",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168721"}

@article{bb173264,
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        TITLE = "Denoising adversarial autoencoders: classifying skin lesions using
limited labelled training data",
        JOURNAL = IET-CV,
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        NUMBER = "8",
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        PAGES = "1105-1111",
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@article{bb173265,
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        TITLE = "LLTO: Towards efficient lesion localization based on template
occlusion strategy in intelligent diagnosis",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168723"}

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        TITLE = "Minutia Matching using 3D Pore Clouds",
        BOOKTITLE = ICPR18,
        YEAR = "2018",
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@inproceedings{bb173267,
        AUTHOR = "Yang, J. and Sun, X. and Liang, J. and Rosin, P.L.",
        TITLE = "Clinical Skin Lesion Diagnosis Using Representations Inspired by
Dermatologist Criteria",
        BOOKTITLE = CVPR18,
        YEAR = "2018",
        PAGES = "1258-1266",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical899sk.html#TT168725"}

@inproceedings{bb173268,
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@inproceedings{bb173269,
        AUTHOR = "Luo, W. and Yang, M.",
        TITLE = "Fast Skin Lesion Segmentation via Fully Convolutional Network with
Residual Architecture and CRF",
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        YEAR = "2018",
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@inproceedings{bb173270,
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        TITLE = "Skin Cancer Segmentation Using a Unified Markov Random Field",
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        YEAR = "2018",
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@inproceedings{bb173271,
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        TITLE = "An Automated Classification Framework for Pressure Ulcer Tissues
Based on 3D Convolutional Neural Network",
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        YEAR = "2018",
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@inproceedings{bb173272,
        AUTHOR = "Elmogy, M. and Garcia Zapirain, B. and Burns, C. and Elmaghraby, A.S. and Ei Baz, A.",
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Convolutional Neural Network",
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@inproceedings{bb173274,
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@inproceedings{bb173275,
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Diseases with Convolutional Neural Network and Autoencoders",
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@inproceedings{bb173276,
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@inproceedings{bb173277,
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        TITLE = "Bio-Inspired Feed-Forward System for Skin Lesion Analysis, Screening
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@inproceedings{bb173278,
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        TITLE = "Pixel Classification Methods to Detect Skin Lesions on Dermoscopic
Medical Images",
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@inproceedings{bb173279,
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        TITLE = "Image Enhancement Based on Fractional Poisson for Segmentation of Skin
Lesions Using the Watershed Transform",
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@inproceedings{bb173280,
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with Recurrent Convolutional Networks",
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@inproceedings{bb173282,
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Bag-of-Features versus Sparse Coding",
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@inproceedings{bb173283,
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@inproceedings{bb173285,
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@inproceedings{bb173286,
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@inproceedings{bb173287,
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@inproceedings{bb173288,
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@inproceedings{bb173289,
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@inproceedings{bb173290,
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@inproceedings{bb173292,
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@inproceedings{bb173293,
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@inproceedings{bb173294,
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@inproceedings{bb173295,
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@inproceedings{bb173296,
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@inproceedings{bb173297,
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@inproceedings{bb173298,
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@inproceedings{bb173299,
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