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Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions

机译:用于可视化糖尿病视网膜病变病变的多通道光谱图像增强

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Spectral imaging is a useful tool in many fields of scientific research and industry. Spectral images contain both spatial and spectral information of the scene. Spectral information can be used for effective visualization of the features-of-interest. One approach is to use spectral image enhancement techniques to improve the diagnostic accuracy of medical image technologies like retinal imaging. In this paper, two multichannel spectral image enhancement methods and a technique to further improve the visualization are presented. The methods are tested on four multispectral retinal images which contain diabetic retinopathy lesions. Both of the methods improved the detectability and quantitative contrast of the diabetic lesions when compared to standard color images and are potentially valuable for clinicians and automated image analyses.
机译:光谱成像是科学研究和行业的许多领域的有用工具。光谱图像包含场景的空间和光谱信息。光谱信息可用于有效可视化对兴趣特征的可视化。一种方法是使用光谱图像增强技术来提高视网膜成像等医学图像技术的诊断准确性。本文介绍了两个多通道光谱图像增强方法和进一步改善可视化的技术。该方法在四个多光谱视网膜图像上进行测试,含有糖尿病视网膜病变病变。与标准彩色图像相比,两种方法改善了糖尿病病变的可检测性和定量对比,并且对临床医生和自动图像分析可能有价值。

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