A Quantitative Object-Level Metric for Segmentation Performance and Its Application to Cell Nuclei

机译：分段性能的定量对象度量及其在细胞核中的应用

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We present an object-level metric for segmentation performance which was developed to quantify both over- and under-segmentation errors, as well as to penalize segmentations with larger deviations in object shape. This metric is applied to the problem of segmentation of cell nuclei in routinely stained H&E histopathology imagery. We show the correspondence between the metric terms and qualitative observations of segmentation quality, particularly the presence of over- and under-segmentation. The computation of this metric does not require the use of any point-to-point or region-to-region correspondences but rather simple computations using the object mask from both the segmentation and ground truth.

机译：我们介绍了一个对象级度量，用于分割性能，这是开发的，以量化过度和下分割错误，以及惩罚具有更大偏差的分段。该度量适用于常规染色H＆E组织病理学成像中细胞核分段的问题。我们展示了度量术语与分割质量的定性观察之间的对应关系，特别是存在过度和下分割的存在。该度量的计算不需要使用任何点对点或区域对应的对应关系，而是使用来自分段和地理的对象掩码来使用对象掩码的简单计算。

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《International Symposium on Advances in Visual Computing》|2007年||共12页
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Laura E. Boucheron; Neal R. Harvey; B. S. Manjunath;
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中图分类信息处理（信息加工）;
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1. Automatic segmentation of cell nuclei in Feulgen-stained histological sections of prostate cancer and quantitative evaluation of segmentation results [J] . Nielsen B., Albregtsen F., Danielsen H.E. Cytometry, Part A: the journal of the International Society for Analytical Cytology . 2012,第7期

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4. A Quantitative Object-Level Metric for Segmentation Performance and Its Application to Cell Nuclei [C] . Laura E. Boucheron, Neal R. Harvey, B.S. Manjunath International Symposium on Advances in Visual Computing(ISVC 2007); 20071126-28; Lake Tahoe,NV(US) . 2007

机译：分割性能的量化对象级度量标准及其在细胞核中的应用
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机译：用深度度量学习增强多组织和多尺度细胞核细胞分割

A Quantitative Object-Level Metric for Segmentation Performance and Its Application to Cell Nuclei

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