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Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis

机译:可见和扩展的近红外多光谱成像对皮肤癌的诊断

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摘要

With the goal of diagnosing skin cancer in an early and noninvasive way, an extended near infrared multispectral imaging system based on an InGaAs sensor with sensitivity from 995 nm to 1613 nm was built to evaluate deeper skin layers thanks to the higher penetration of photons at these wavelengths. The outcomes of this device were combined with those of a previously developed multispectral system that works in the visible and near infrared range (414 nm–995 nm). Both provide spectral and spatial information from skin lesions. A classification method to discriminate between melanomas and nevi was developed based on the analysis of first-order statistics descriptors, principal component analysis, and support vector machine tools. The system provided a sensitivity of 78.6% and a specificity of 84.6%, the latter one being improved with respect to that offered by silicon sensors.
机译:为了以早期且无创的方式诊断皮肤癌,建立了基于InGaAs传感器的扩展近红外多光谱成像系统,其灵敏度从995 nm到1613 nm,以评估更深的皮肤层,这是因为这些层中的光子具有更高的穿透力波长。该设备的结果与先前开发的在可见光和近红外范围(414 nm–995 nm)中工作的多光谱系统的结果相结合。两者都提供来自皮肤损伤的光谱和空间信息。基于一阶统计量描述符的分析,主成分分析和支持向量机工具,开发了一种区分黑色素瘤和痣的分类方法。该系统提供了78.6%的灵敏度和84.6%的特异性,相对于硅传感器所提供的灵敏度,后者得到了改进。

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