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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：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：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：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：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：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：US5745601A
公开(公告)日：1998-04-28
申请号：US509181
申请日：1995-07-31
CPC分类号： G06K9/6282 , G06K9/00127
摘要： A classifier measures robustness responsive to object presentation effects and decision boundary effects. A cytological image analysis computer obtains objects of interest and classifies them responsive to a decision tree classifier. The robustness of classification is calculated dynamically as objects are classified responsive to a segmentation robustness and a classification decisiveness measure. The results of the decisiveness measure and the segmentation robustness data are combined to provide enhanced overall classification reliability.
摘要翻译： 分类器测量响应于对象呈现效果和决策边界效应的鲁棒性。 细胞学图像分析计算机获得感兴趣的对象，并对它们进行分类以响应于决策树分类器。 根据分割鲁棒性和分类决定性度量对象进行分类，动态计算分类的鲁棒性。 结合果蔬措施和分割鲁棒性数据的结果，提高整体分类的可靠性。
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8.发明授权Apparatus for automated identification of thick cell groupings on a biological specimen 失效用于在生物样本上自动识别厚细胞分组的装置
公开(公告)号：US5987158A
公开(公告)日：1999-11-16
申请号：US969970
申请日：1997-11-13
CPC分类号： G06T7/0012 , G06K9/00127 , G06T2207/10056 , G06T2207/30024
摘要： A thick group of cells classifier. Image data acquired from an automated microscope from a cytological specimen is processed by a computer system. The computer applies filters at different stages. Obvious artifacts are eliminated from analysis early in the processing. The first stage of processing is image segmentation where objects of interest are identified. The next stage of processing is feature calculation where properties of each segmented thick group object are calculated. The final step is object classification where every segmented thick group object is classified as being abnormal or as belonging to a cellular or non-cellular artifact.
摘要翻译： 一组细胞分类器。 从细胞学标本的自动显微镜获取的图像数据由计算机系统处理。 计算机在不同阶段应用过滤器。 在处理初期，从分析中消除了明显的文物。 第一阶段的处理是识别感兴趣对象的图像分割。 处理的下一个阶段是计算每个分段厚组对象的属性的特征计算。 最后一步是对象分类，其中每个分段的粗组对象被分类为异常或属于细胞或非细胞假象。
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公开(公告)号：US20100232664A1
公开(公告)日：2010-09-16
申请号：US12403231
申请日：2009-03-12
CPC分类号： G01N15/1475 , G01N15/147 , G06T5/002 , G06T7/136 , G06T11/005 , G06T2207/10072 , G06T2207/30024 , H04N5/365
摘要： Correcting pattern noise projection images includes acquiring a set of projection images with an optical tomography system including a processor, where each of the set of projection images is acquired at a different angle of view. A threshold is applied to each projection image produce a set of threshold images. Each threshold image may optionally be dilated to produce a set of dilated images that are summed to form an ensemble image. Each of the dilated images is processed to produce a set of binary images. The set of binary images are summed to form an ensemble mask. The ensemble image is divided by the ensemble mask to yield a background pattern noise image. Each projection image is multiplied by a scaling factor and divided by the background pattern noise to produce a quotient image that is filtered to produce a noise corrected projection image.
摘要翻译： 校正图案噪声投影图像包括使用包括处理器的光学层析成像系统获取一组投影图像，其中以不同的视角获取投影图像集合中的每一个。 对每个投影图像应用阈值产生一组阈值图像。 每个阈值图像可以可选地被扩展以产生一组被累加以形成整体图像的扩张图像。 每个扩张的图像被处理以产生一组二进制图像。 将二进制图像的集合相加以形成集合掩码。 整体图像由合成掩模划分以产生背景图案噪声图像。 将每个投影图像乘以缩放因子并除以背景图案噪声，以产生被滤波以产生噪声校正投影图像的商图像。
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公开(公告)号：US08155420B2
公开(公告)日：2012-04-10
申请号：US12470413
申请日：2009-05-21
CPC分类号： G06K9/00147 , G06T7/0002 , G06T11/008 , G06T2200/04 , G06T2207/10101 , G06T2207/30024 , G06T2207/30168 , G06T2211/412
摘要： A system and method for detecting poor quality images in an optical tomography system includes an acquisition apparatus for acquiring a set of pseudo-projection images of an object having a center of mass, where each of the set of pseudo-projection images is acquired at a different angle of view. A reconstruction apparatus is coupled to receive the pseudo-projection images, for reconstruction of the pseudo-projection images into 3D reconstruction images. A quality apparatus is coupled to receive the 3D reconstruction images and operates to detect of selected features that characterize poor quality reconstructions.
摘要翻译： 一种用于在光学断层摄影系统中检测质量差的图像的系统和方法包括：获取装置，用于获取具有质心的物体的一组伪投影图像，其中在一组伪投影图像中获取每个伪投影图像 不同的视角。 耦合重建装置以接收伪投影图像，用于将伪投影图像重建成3D重建图像。 耦合质量装置以接收3D重建图像并操作以检测表征劣质重建的所选特征。
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