(英)显微高光谱成像的皮肤黑色素瘤浅表扩散深度识别方法
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1.华东师范大学 上海市多维度信息处理重点实验室,上海 200241;2.华东师范大学 空间信息与定位导航上海高校工程研究中心,上海 200241;3.华东师范大学 纳光电集成与先进装备教育部工程研究中心,上海 200241

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Identification and measurement of cutaneous melanoma superficial spreading depth using microscopic hyperspectral imaging technology
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1.Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai 200241, China;2.Engineering Center of SHMEC for Space Information and GNSS, Shanghai 200241, China;3.Engineering Research Center of Nanophotonics & Advanced Instrument, Ministry of Education, East China Normal University, Shanghai 200241, China

Fund Project:

Supported by National Natural Science Foundation of China (61975056), Shanghai Natural Science Foundation (19ZR1416000); the Science and Technology Commission of Shanghai Municipality (20440713100, 19511120100).

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    摘要:

    研究了基于显微高光谱图像的皮肤黑色素瘤浅表扩散深度检测方法.首先使用核最小噪声分割、形态滤波和边缘检测实现颗粒层的分割,然后使用基于特征谱监督的最小二乘支持向量机实现恶性黑色素细胞的检测,最后定量化计算了皮肤黑色素瘤的扩散深度.实验结果表明,可以为皮肤黑色素瘤的浅表扩散提供定量化的参考指标,有利于皮肤黑色素瘤的病理诊断.

    Abstract:

    This paper presents an automatic approach for measurement of the superficial spreading depth of cutaneous melanomas based on microscopic hyperspectral imaging technology. To extract the skin granular layer, an edge detection method combined with kernel minimum noise fraction is proposed. Then least squares support vector machine based on characteristic spectrum supervision is used to identify malignant melanocytes. The measurement of tumor superficial spreading depth depends on the vertical distance from the skin granular layer to the deepest malignant melanocytes. Experimental results illustrate that the proposed method is possible to provide an effective reference for the diagnosis and treatment of cutaneous melanoma.

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王健生,李庆利,周梅,孙力,胡孟晗,吕岳,褚君浩.(英)显微高光谱成像的皮肤黑色素瘤浅表扩散深度识别方法[J].红外与毫米波学报,2020,39(6):749~759]. WANG Jian-Sheng, LI Qing-Li, ZHOU Mei, SUN Li, HU Meng-Han, LU Yue, CHU Jun-Hao. Identification and measurement of cutaneous melanoma superficial spreading depth using microscopic hyperspectral imaging technology[J]. J. Infrared Millim. Waves,2020,39(6):749~759.]

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  • 收稿日期:2020-03-18
  • 最后修改日期:2020-11-10
  • 录用日期:2020-05-09
  • 在线发布日期: 2020-11-10
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