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Grey Relational Analysis based Keypoints Selection in Bag-of-Features for Histopathological Image Classification

机译：基于灰色关系分析基于袋子特征的关键点选择，用于组织病理学图像分类

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Background: With the expeditious development of current medical imaging technology,the availability of histopathological images has been increased in a large number. Hence, histopathologicalimage classification and annotation have emerged as the prime research fields in the pathologicaldiagnosis and clinical practices. Several methods are available for the automation of imageclassification.Method: Recently, the bag-of-features appeared as a successful histopathological image classificationmethod. However, all the extracted keypoints in bag-of-features are not relevant and generallyhave very high dimensions, which degrade the performance of a classifier. Therefore, this paper introducesa new Grey relational analysis-based bag-of-features method to search the relevant keypoints.Results: The efficacy of the proposed method has been analyzed on animal diagnostics lab histopathologicalimage datasets having healthy and inflamed images of three organs. The averageaccuracy of the proposed method is 88.3%, which is the highest among other state-of-the-art methods.Conclusion: This paper introduced a new Grey relational analysis-based bag-of-features whichimproves the efficiency of vector quantization step of the standard bag-of-features method. Themethod used Grey relational analysis for similarity measure in vector quantization method of bag-offeatures.The proposed method has been validated in terms of precision, recall, G-mean, F1 score,and radar charts on three datasets, Kidney, Lung, and Spleen of ADL histopathological images.
机译：背景：随着当前医学成像技术的迅速发展，组织病理学图像的可用性在大量方面增加。因此，组织病理学视线分类和注释被出现为病理学诊断和临床实践中的主要研究领域。可用于ImageClassification的自动化有几种方法。最近，袋子袋出现为成功的组织病理学图像分类方法。然而，袋袋中的所有提取的关键点都不相关，并且通常高维度，这降低了分类器的性能。因此，本文介绍了基于新的基于灰色关系分析的特征方法来搜索相关的关键点。结果：已经分析了所提出的方法的疗效，在动物诊断实验室组织病理学标数数据集具有健康和发炎的三个器官的图像。所提出的方法的平均值是88.3％，其它最先进的方法中是最高的。结论：本文介绍了一种新的灰色关系分析基于袋的特征，可以实现矢量量化步骤的效率标准袋式袋式方法。 HTOMETHOD在袋造成的矢量量化方法中使用了灰色关系分析。提出的方法已在精度，召回，G平均值，F1分数和三个数据集，肾，肺和脾脏上验证。 ADL组织病理学图像。

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