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Removing Artefacts from Microscopic Images of Cytological Smears. A Shape-Based Approach

机译:从微观图像的细胞学涂片中移除人工制品。基于形状的方法

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Most of reports on computer supported cytological investigations focus on searching for objective, quantitative descriptors enabling an automated system to distinguish between "normal" and "pathological" objects, usually cells or their organelles. A great number of sophisticated tools have been developed and reported. However, few reports may be found concerning the problem of detecting artefacts in cytological smears and reducing their influence on the overall system performance. On the other hand, the problem is crucial for the whole system setup and if not properly solved may spoil any attempts to implement the system in practice. The paper addresses this neglected problem trying to point out some general rules and procedures that should be followed to reject artefacts from automatic cytological analysis.
机译:关于计算机支持的大多数报告都关注寻找客观的定量描述符,使自动化系统能够区分“正常”和“病理”对象,通常是细胞或其细胞器。已经开发并报告了大量的复杂工具。然而,有些报告可以关于检测细胞学涂片中的人工制品的问题,并降低对整体系统性能的影响。另一方面,问题对于整个系统设置至关重要,如果没有正确解决可能会破坏在实践中实施系统的任何尝试。本文解决了这一忽视的问题,试图指出应遵循的一些一般规则和程序,以遵循自动细胞学分析的拒绝人工制品。

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