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公开(公告)号：US6134354A
公开(公告)日：2000-10-17
申请号：US121012
申请日：1998-07-22
申请人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
发明人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
CPC分类号： G06K9/00127 , G01N15/1475 , G01N2015/1497
摘要： A free-lying cell classifier. An automated microscope system comprising a computer and high speed processing field of view processors identifies free-lying cells. An image of a biological specimen is obtained and the image is segmented to create a set of binary masks. The binary masks are used by a feature calculator to compute the features that characterize objects of interest including free-lying cells, artifacts and other biological objects. The objects are classified to identify their type, their normality or abnormality or their identification as an artifact. The results are summarized and reported. A stain evaluation of the slide is performed as well as a typicality evaluation. The robustness of the measurement is also quantified as a classification confidence value. The free-lying cell evaluation is used by an automated cytology system to classify a biological specimen slide.
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公开(公告)号：US5828776A
公开(公告)日：1998-10-27
申请号：US678124
申请日：1996-07-11
CPC分类号： G06K9/00127 , G06K9/685
摘要： A biological specimen classification strategy employs identification and integration of multiple cell patterns. An automated microscope acquires an image of a biological specimen such as a Pap smear and provides an image output to biological classifiers. The classifiers independently detect and classify a number of specimen types and provide classifications to an output field of view integrator. The integrator integrates the classifications. The integrated output then determines whether the classifiers should be reapplied to the image.
摘要翻译： 生物样本分类策略采用多重细胞模式的识别和整合。 自动显微镜获取诸如巴氏涂片的生物样本的图像，并向生物分类器提供图像输出。 分类器独立地检测和分类多个样本类型，并为输出视场积分器提供分类。 集成商整合分类。 然后，集成输出确定分类器是否应重新应用于映像。
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公开(公告)号：US6137899A
公开(公告)日：2000-10-24
申请号：US120860
申请日：1998-07-22
申请人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
发明人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
CPC分类号： G06K9/00127 , G01N15/1475 , G01N2015/1497
摘要： A free-lying cell classifier. An automated microscope system comprising a computer and high speed processing field of view processors identifies free-lying cells. An image of a biological specimen is obtained and the image is segmented to create a set of binary masks. The binary masks are used by a feature calculator to compute the features that characterize objects of interest including free-lying cells, artifacts and other biological objects. The objects are classified to identify their type, their normality or abnormality or their identification as an artifact. The results are summarized and reported. A stain evaluation of the slide is performed as well as a typicality evaluation. The robustness of the measurement is also quantified as a classification confidence value. The free-lying cell evaluation is used by an automated cytology system to classify a biological specimen slide.
摘要翻译： 一个自由的细胞分类器。 包括计算机和高速处理视野处理视野处理器的自动显微镜系统识别自由放置的单元。 获得生物样本的图像，并将图像分割以产生一组二进制掩模。 特征计算器使用二进制掩码来计算表征感兴趣对象的特征，包括自由放置的细胞，伪影和其他生物物体。 这些物体被分类以识别它们的类型，它们的正常性或异常或它们作为人造物的识别。 总结和报告结果。 执行幻灯片的染色评估以及典型评估。 测量的鲁棒性也被量化为分类置信度值。 自由细胞学评估系统用于分离生物样本载玻片。
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公开(公告)号：US5978497A
公开(公告)日：1999-11-02
申请号：US309250
申请日：1994-09-20
申请人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
发明人： Shih-Jong J. Lee , Paul S. Wilhelm , Wendy R. Bannister , Chih-Chau L. Kuan , Seho Oh , Michael G. Meyer
CPC分类号： G06K9/00127 , G01N15/1475 , G01N2015/1497
摘要： A free-lying cell classifier. An automated microscope system comprising a computer and high speed processing field of view processors identifies free-lying cells. An image of a biological specimen is obtained and the image is segmented to create a set of binary masks. The binary masks are used by a feature calculator to compute the features that characterize objects of interest including free-lying cells, artifacts and other biological objects. The objects are classified to identify their type, their normality or abnormality or their identification as an artifact. The results are summarized and reported. A stain evaluation of the slide is performed as well as a typicality evaluation. The robustness of the measurement is also quantified as a classification confidence value. The free-lying cell evaluation is used by an automated cytology system to classify a biological specimen slide.
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公开(公告)号：US5933519A
公开(公告)日：1999-08-03
申请号：US867017
申请日：1997-06-03
申请人： Shih-Jong J. Lee , Paul S. Wilhelm , Michael G. Meyer , Wendy R. Bannister , Chih-Chau L. Kuan , William E. Ortyn , Larry A. Nelson , Keith L. Frost , Jon W. Hayenga
发明人： Shih-Jong J. Lee , Paul S. Wilhelm , Michael G. Meyer , Wendy R. Bannister , Chih-Chau L. Kuan , William E. Ortyn , Larry A. Nelson , Keith L. Frost , Jon W. Hayenga
CPC分类号： G06K9/00127 , G06K9/6253 , G06K9/685
摘要： The invention detects areas of interest at low magnification, locating possible abnormal cells or other cells of interest using image processing and statistical pattern recognition techniques. Next, at high magnification, the areas identified at low magnification are re-examined. The information from the low magnification and high magnification scans is collated and a determination is made about the slide--whether it is normal, abnormal, contains endocervical component, and so forth. The invention also provides a method and apparatus to train object feature and slide feature classifiers. The invention provides an automated cytology system that can process training slides for use in a feed back classifier development environment. The invention also can classify endocervical groups of cells.
摘要翻译： 本发明使用图像处理和统计模式识别技术来检测低放大倍数的感兴趣区域，定位可能的异常细胞或感兴趣的其它细胞。 接下来，在高放大倍数下，重新检查在低倍率下识别的区域。 对来自低放大倍数和高倍率扫描的信息进行整理，并确定载玻片是否正常，异常，包含宫颈内部成分等。 本发明还提供了一种训练对象特征和幻灯片特征分类器的方法和装置。 本发明提供了一种自动细胞学系统，其可以处理用于反馈分类器开发环境中的训练幻灯片。 本发明还可以分类宫颈癌细胞群。
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公开(公告)号：US06198839B1
公开(公告)日：2001-03-06
申请号：US08924351
申请日：1997-09-05
IPC分类号： G06K900
CPC分类号： G01N15/1475 , G06K9/00127 , Y10S128/922
摘要： Dynamic control of the processing flow of an image analyzer such as a biological specimen analyzer as processing proceeds. Data collected and processed from a specimen under analysis, such as a biological specimen on a microscope slide, determines the fate of further processing. If there is enough evidence, based on the data collected from a slide, to make a decision with sufficient confidence, the processing of the slide can be stopped and a decision may be rendered. By avoiding unnecessary additional computation system throughput may be enhanced. Otherwise, data collection and computation continues until either certain termination criteria are met or no more data is left to acquire. This slide-dependent control and decision making method flexibly limits the amount of computation required to reach a system decision about a specimen. By evaluating analysis processing continuously a maximum signal to noise ratio may be achieved by preventing additional noise from entering the analysis and thus swamping signal information.
摘要翻译： 作为处理进行的生物样本分析仪等图像分析装置的处理流程的动态控制。 从分析中的样品（例如显微镜载玻片上的生物样品）收集和处理的数据确定进一步加工的命运。 如果有足够的证据，根据从幻灯片收集的数据，以足够的信心作出决定，则可以停止幻灯片的处理并作出决定。 通过避免不必要的附加计算系统可以提高吞吐量。 否则，继续进行数据收集和计算，直到满足某些终止标准或没有更多的数据获取。 这种依赖幻灯片的控制和决策方法灵活地限制了达到关于标本的系统决策所需的计算量。 通过连续评估分析处理，可以通过防止附加噪声进入分析并因此使信号信息变化来实现最大信噪比。
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公开(公告)号：US5740269A
公开(公告)日：1998-04-14
申请号：US309209
申请日：1994-09-20
IPC分类号： G06K9/00
CPC分类号： G06K9/00127
摘要： A robust biological specimen classifier. An automated microscopy system obtains features from an image of a biological specimen slide. A computer system in the automated microscopy system computes feature variations. Clusters are created that comprise samples of similar characteristics. A cluster membership generator generates membership values for each cluster. Classifiers specialized to certain feature sets are used to provide independent outputs. These outputs are offset and biased by the output of the membership generator. The output of the adjusted classification values are summed to create a slide score output.
摘要翻译： 强大的生物样本分类器。 自动显微镜系统从生物标本载玻片的图像中获得特征。 自动显微镜系统中的计算机系统计算特征变化。 创建了包含类似特征样本的集群。 集群成员资格生成器为每个集群生成成员资格值。 专门用于某些特征集的分类器用于提供独立的输出。 这些输出由成员生成器的输出偏移和偏移。 将调整后的分类值的输出相加以创建幻灯片分数输出。
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公开(公告)号：US5787189A
公开(公告)日：1998-07-28
申请号：US667292
申请日：1996-06-20
CPC分类号： G06K9/42 , G06K9/00127
摘要： Reference information for a biological slide is obtained. The reference information normalizes the measured object features. Calibrated feature measurement, not based on absolute measurements, self adjusts to match the situation of each slide, where each slide is characterized by the reference information. The reference may be different from slide to slide because of the preparation variations. The calibrated features will not carry the inter-slide variations. In addition, the reference information provides a good indication of the slide condition such as dark stained, air dried, etc. which can be used as slide features for the specimen classification. No alteration of the current practice of specimen preparation is required. The many slide context dependent features improve the classification accuracy of the objects in a specimen.
摘要翻译： 获得生物载玻片的参考信息。 参考信息将测量的对象特征归一化。 校准的特征测量，不是基于绝对测量，自动调整以匹配每个幻灯片的情况，其中每个幻灯片的特征在于参考信息。 由于制备变化，参考可能与滑动到滑动不同。 校准的特征将不会携带幻灯片间的变化。 此外，参考信息提供滑动条件的良好指示，例如深色，空气干燥等，其可以用作样本分类的幻灯片特征。 不需要更改现有的样品制备实践。 许多幻灯片上下文相关特征提高了样本中对象的分类精度。
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