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Adaptable pattern recognition system for discriminating Melanocytic Nevi from Malignant Melanomas using plain photography images from different image databases

机译:自适应模式识别系统,可使用来自不同图像数据库的普通摄影图像从恶性黑素瘤中区分黑素细胞痣

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摘要

Objective: The aim of this study was to propose features that evaluate pictorial differences between melanocytic nevus (mole) and melanoma lesions by computer-based analysis of plain photography images and to design a cross-platform, tunable, decision support system to discriminate with high accuracy moles from melanomas in different publicly available image databases.
机译:目的:本研究的目的是提出功能,通过基于计算机的普通摄影图像分析来评估黑素细胞痣(痣)和黑色素瘤病变之间的图像差异,并设计一种跨平台,可调整的决策支持系统,以区分高不同公开图像数据库中来自黑素瘤的精确痣。

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  • 作者单位

    Technol Educ Inst Athens, Dept Biomed Engn, Med Image & Signal Proc Lab MEDISP, Athens, Greece|Univ Patras, Fac Med, Sch Hlth Sci, Dept Med Phys, Patras, Greece;

    Technol Educ Inst Athens, Dept Biomed Engn, Med Image & Signal Proc Lab MEDISP, Athens, Greece|Univ Patras, Fac Med, Sch Hlth Sci, Dept Med Phys, Patras, Greece;

    Technol Educ Inst Athens, Dept Biomed Engn, Med Image & Signal Proc Lab MEDISP, Athens, Greece|Univ Patras, Fac Med, Sch Hlth Sci, Dept Med Phys, Patras, Greece;

    Univ Patras, Fac Med, Sch Hlth Sci, Dept Med Phys, Patras, Greece;

    Univ Patras, Fac Med, Sch Hlth Sci, Dept Med Phys, Patras, Greece;

    Technol Educ Inst Athens, Dept Biomed Engn, Med Image & Signal Proc Lab MEDISP, Athens, Greece|Univ Patras, Fac Med, Sch Hlth Sci, Dept Med Phys, Patras, Greece;

    Technol Educ Inst Athens, Dept Biomed Engn, Med Image & Signal Proc Lab MEDISP, Athens, Greece|Univ Patras, Fac Med, Sch Hlth Sci, Dept Med Phys, Patras, Greece;

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  • 正文语种 eng
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  • 关键词

    Image analysis; Pattern recognition; Melanoma diagnosis; Skin lesions; Plain-photography images;

    机译:图像分析;模式识别;黑色素瘤诊断;皮肤病变;普通摄影图像;

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