红外与毫米波学报2020，Vol.39Issue(6)：749-759,11.DOI:10.11972/j.issn.1001-9014.2020.06.013
显微高光谱成像的皮肤黑色素瘤浅表扩散深度识别方法
Identification and measurement of cutaneous melanoma superficial spreading depth using microscopic hyperspectral imaging technology
摘要
Abstract
This paper presents an automatic approach for measurement of the superficial spreading depth of cuta-neous 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 vec-tor machine based on characteristic spectrum supervision is used to identify malignant melanocytes.The measure-ment of tumor superficial spreading depth depends on the vertical distance from the skin granular layer to the deep-est malignant melanocytes.Experimental results illustrate that the proposed method is possible to provide an effec-tive reference for the diagnosis and treatment of cutaneous melanoma.关键词
图像处理/肿瘤浅表扩散深度/机器学习/显微高光谱成像Key words
image processing/superficial spreading depth/machine learning/microscopic hyperspectral imaging分类
信息技术与安全科学引用本文复制引用
王健生,李庆利,周梅,孙力,胡孟晗,吕岳,褚君浩..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):749-759,11.基金项目
Supported by National Natural Science Foundation of China(61975056),Shanghai Natural Science Foundation(19ZR1416000) （61975056）
the Science and Technology Commission of Shanghai Municipality(20440713100,19511120100). （20440713100,19511120100）
