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A Bilinear Interpolation Based Approach for Optimizing Hematoxylin and Eosin Stained Microscopical Images

机译:基于双线性插值的优化苏木精和曙红染色显微图像的方法

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Hematoxylin & Eosin (H&E) is a widely used staining technique in medical pathology for distinguishing nuclei and cytoplasm in tissues by dying them in different colors; this helps to ease the diagnosis process. However, usually the microscopic digital images obtained using this technique suffer from uneven lighting, i.e. poor Koehler illumination. The existing ad-hoc methods for correcting this problem generally work in RGB color model, and may result in both an unwanted color shift and loosing essential details in terms of the diagnosis. The aim of this study is to present an alternative method that remedies these deficiencies. We first identify the characteristics of uneven lighting in pathological images produced by using the H&E technique, and then show how the quality of these images can be improved by applying an interpolation based approach in the Lab color model without losing any important detail. The effectiveness of the proposed method is demonstrated on sample microscopic images.
机译:苏木精和曙红(H&E)是一种在医学病理学中广泛使用的染色技术,用于通过用不同颜色染色组织中的核和细胞质来区分核和细胞质;这有助于缓解诊断过程。然而,通常使用该技术获得的微观数字图像遭受不均匀的照明,即Koehler照明差。现有的纠正此问题的临时方法通常在RGB颜色模型中工作,并且可能导致在诊断方面不需要的颜色移位和丢失必要细节。本研究的目的是提出一种替代方法,可以解决这些缺陷。我们首先识别通过使用H&E技术产生的病理图像中不均匀照明的特征,然后通过在实验室颜色模型中应用基于插值的方法而不丢失任何重要细节,如何通过应用基于内插的方法来提高这些图像的质量。在样本微观图像上证明了所提出的方法的有效性。

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