【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.更多还原

【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.更多还原