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    Uterine cervical cancer computer-aided-diagnosis (CAD)
    6.
    发明授权
    Uterine cervical cancer computer-aided-diagnosis (CAD) 失效
    子宫颈癌计算机辅助诊断（CAD）

    公开(公告)号：US07664300B2

    公开(公告)日：2010-02-16

    申请号：US11184046

    申请日：2005-02-03

    申请人： Holger Lange ,  Rolf Holger Wolters

    发明人： Holger Lange ,  Rolf Holger Wolters

    IPC分类号： G06K9/00 ,  A61F6/14 ,  A61F6/06

    CPC分类号： A61B5/0059 ,  A61B5/053 ,  A61B5/7264 ,  G06F19/00 ,  G06F19/321 ,  G06F19/324 ,  G06F19/3481 ,  G06T7/0012 ,  G06T7/30 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/30004

    摘要： Uterine cervical cancer Computer-Aided-Diagnosis (CAD) according to this invention consists of a core processing system that automatically analyses data acquired from the uterine cervix and provides tissue and patient diagnosis, as well as adequacy of the examination. The data can include, but is not limited to, color still images or video, reflectance and fluorescence multi-spectral or hyper-spectral imagery, coherent optical tomography imagery, and impedance measurements, taken with and without the use of contrast agents like 3-5% acetic acid, Lugol's iodine, or 5-aminolevulinic acid. The core processing system is based on an open, modular, and feature-based architecture, designed for multi-data, multi-sensor, and multi-feature fusion. The core processing system can be embedded in different CAD system realizations. For example: A CAD system for cervical cancer screening could in a very simple version consist of a hand-held device that only acquires one digital RGB image of the uterine cervix after application of 3-5% acetic acid and provides automatically a patient diagnosis. A CAD system used as a colposcopy adjunct could provide all functions that are related to colposcopy and that can be provided by a computer, from automation of the clinical workflow to automated patient diagnosis and treatment recommendation.

    摘要翻译： 根据本发明的子宫颈癌计算机辅助诊断（CAD）包括一个核心处理系统，其自动分析从子宫颈获得的数据，并提供组织和患者诊断以及检查的充分性。 数据可以包括但不限于彩色静止图像或视频，反射率和荧光多光谱或超光谱图像，相干光学断层摄影图像和阻抗测量，在使用和不使用造影剂如3- 5％乙酸，Lugol碘或5-氨基乙酰丙酸。 核心处理系统基于开放，模块化和基于特征的架构，专为多数据，多传感器和多功能融合而设计。 核心处理系统可以嵌入到不同的CAD系统实现中。 例如：用于宫颈癌筛查的CAD系统可以在非常简单的版本中由手持装置组成，其仅在施加3-5％乙酸后才获得子宫颈的一个数字RGB图像，并自动提供患者诊断。 用作阴道镜附件的CAD系统可以提供与阴道镜相关的所有功能，并且可以由计算机提供从临床工作流程自动化到自动化患者诊断和治疗推荐的所有功能。

    Process and device for detection of precancer tissues with infrared spectroscopy
    7.
    发明授权
    Process and device for detection of precancer tissues with infrared spectroscopy 失效
    用红外光谱检测癌前组织的方法和装置

    公开(公告)号：US08532750B2

    公开(公告)日：2013-09-10

    申请号：US12590790

    申请日：2009-11-13

    申请人： John Taylor Hargrove ,  Rolf Holger Wolters ,  Ulf Peter Gustafsson

    发明人： John Taylor Hargrove ,  Rolf Holger Wolters ,  Ulf Peter Gustafsson

    IPC分类号： A61B6/00

    CPC分类号： A61B5/0075 ,  A61B5/0086 ,  A61B5/7264

    摘要： A process for determining whether tissue is precancer, in which tests discriminating between precancer and benign tissue and between precancer and normal tissue are combined, and tissue that is classified as precancer in both tests is determined to be precancer, in which neither of the tests to be combined is the most selective. Further, a process and device in which certain optimal wavelengths of glycogen, phosphate and lipid, but not protein, discriminate between normal and precancer tissues.

    摘要翻译： 用于确定组织是否是癌前期的方法，其中将前瞻性组织和良性组织之间以及癌前期和正常组织之间的区别的试验结合在一起，并且在两个测试中被分类为癌前期的组织被确定为癌前期，其中两个试验 组合是最有选择性的。 此外，其中糖原，磷酸盐和脂质的某些最佳波长但不是蛋白质的某些最佳波长区分正常和癌前组织的过程和装置。

    Uterine cervical cancer computer-aided-diagnosis (CAD)
    8.
    发明申请
    Uterine cervical cancer computer-aided-diagnosis (CAD) 失效
    子宫颈癌计算机辅助诊断（CAD）

    公开(公告)号：US20090046905A1

    公开(公告)日：2009-02-19

    申请号：US11184046

    申请日：2005-02-03

    申请人： Holger Lange ,  Rolf Holger Wolters

    发明人： Holger Lange ,  Rolf Holger Wolters

    IPC分类号： A61B5/00

    CPC分类号： A61B5/0059 ,  A61B5/053 ,  A61B5/7264 ,  G06F19/00 ,  G06F19/321 ,  G06F19/324 ,  G06F19/3481 ,  G06T7/0012 ,  G06T7/30 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/30004

    摘要： Uterine cervical cancer Computer-Aided-Diagnosis (CAD) according to this invention consists of a core processing system that automatically analyses data acquired from the uterine cervix and provides tissue and patient diagnosis, as well as adequacy of the examination. The data can include, but is not limited to, color still images or video, reflectance and fluorescence multi-spectral or hyper-spectral imagery, coherent optical tomography imagery, and impedance measurements, taken with and without the use of contrast agents like 3-5% acetic acid, Lugol's iodine, or 5-aminolevulinic acid. The core processing system is based on an open, modular, and feature-based architecture, designed for multi-data, multi-sensor, and multi-feature fusion. The core processing system can be embedded in different CAD system realizations. For example: A CAD system for cervical cancer screening could in a very simple version consist of a hand-held device that only acquires one digital RGB image of the uterine cervix after application of 3-5% acetic acid and provides automatically a patient diagnosis. A CAD system used as a colposcopy adjunct could provide all functions that are related to colposcopy and that can be provided by a computer, from automation of the clinical workflow to automated patient diagnosis and treatment recommendation.

    摘要翻译： 根据本发明的子宫颈癌计算机辅助诊断（CAD）包括一个核心处理系统，其自动分析从子宫颈获得的数据，并提供组织和患者诊断以及检查的充分性。 数据可以包括但不限于彩色静止图像或视频，反射率和荧光多光谱或超光谱图像，相干光学断层摄影图像和阻抗测量，在使用和不使用造影剂如3- 5％乙酸，Lugol碘或5-氨基乙酰丙酸。 核心处理系统基于开放，模块化和基于特征的架构，专为多数据，多传感器和多功能融合而设计。 核心处理系统可以嵌入到不同的CAD系统实现中。 例如：用于宫颈癌筛查的CAD系统可以在非常简单的版本中由手持装置组成，其仅在施加3-5％乙酸后才获得子宫颈的一个数字RGB图像，并自动提供患者诊断。 用作阴道镜附件的CAD系统可以提供与阴道镜相关的所有功能，并且可以由计算机提供从临床工作流程自动化到自动化患者诊断和治疗推荐的所有功能。

    Diagnosis Support System Providing Guidance to a User by Automated Retrieval of Similar Cancer Images with User Feedback
    9.
    发明申请
    Diagnosis Support System Providing Guidance to a User by Automated Retrieval of Similar Cancer Images with User Feedback 审中-公开
    诊断支持系统通过用户反馈自动检索类似的癌症图像为用户提供指导

    公开(公告)号：US20120283574A1

    公开(公告)日：2012-11-08

    申请号：US13464914

    申请日：2012-05-04

    申请人： Sun Young Park ,  Dustin Michael Sargent ,  Rolf Holger Wolters ,  Ulf Peter Gustafsson

    发明人： Sun Young Park ,  Dustin Michael Sargent ,  Rolf Holger Wolters ,  Ulf Peter Gustafsson

    IPC分类号： A61B1/303 ,  A61B6/00

    CPC分类号： G06F19/321 ,  G06F16/5838 ,  G06K9/46 ,  G06K9/6215 ,  G06K9/6218 ,  G06K9/629 ,  G06T7/0014

    摘要： The present invention is a diagnosis support system providing automated guidance to a user by automated retrieval of similar disease images and user feedback. High resolution standardized labeled and unlabeled, annotated and non-annotated images of diseased tissue in a database are clustered, preferably with expert feedback. An image retrieval application automatically computes image signatures for a query image and a representative image from each cluster, by segmenting the images into regions and extracting image features in the regions to produce feature vectors, and then comparing the feature vectors using a similarity measure. Preferably the features of the image signatures are extended beyond shape, color and texture of regions, by features specific to the disease. Optionally, the most discriminative features are used in creating the image signatures. A list of the most similar images is returned in response to a query. Keyword query is also supported.

    摘要翻译： 本发明是通过自动检索类似的疾病图像和用户反馈来向用户提供自动指导的诊断支持系统。 数据库中患病组织的高分辨率标准化标签和未标记，注释和非注释图像聚类，最好与专家反馈。 图像检索应用程序通过将图像分割成区域并提取区域中的图像特征来自动计算来自每个群集的查询图像和代表图像的图像签名，以产生特征向量，然后使用相似性度量来比较特征向量。 优选地，通过特定于疾病的特征，图像特征的特征被扩展到区域的形状，颜色和纹理之外。 可选地，最具有歧视性的特征用于创建图像签名。 响应于查询返回最相似图像的列表。 还支持关键字查询。

    Process and device for detection of precancer tissues with infrared spectroscopy
    10.
    发明申请
    Process and device for detection of precancer tissues with infrared spectroscopy 失效
    用红外光谱检测癌前组织的方法和装置

    公开(公告)号：US20100130868A1

    公开(公告)日：2010-05-27

    申请号：US12590790

    申请日：2009-11-13

    申请人： John Taylor Hargrove ,  Rolf Holger Wolters ,  Ulf Peter Gustafsson

    发明人： John Taylor Hargrove ,  Rolf Holger Wolters ,  Ulf Peter Gustafsson

    IPC分类号： A61B6/00

    CPC分类号： A61B5/0075 ,  A61B5/0086 ,  A61B5/7264

    摘要： A process for determining whether tissue is precancer, in which tests discriminating between precancer and benign tissue and between precancer and normal tissue are combined, and tissue that is classified as precancer in both tests is determined to be precancer, in which neither of the tests to be combined is the most selective. Further, a process and device in which certain optimal wavelengths of glycogen, phosphate and lipid, but not protein, discriminate between normal and precancer tissues.

    摘要翻译： 用于确定组织是否是癌前期的方法，其中将前瞻性组织和良性组织之间以及癌前期和正常组织之间的区别的试验结合在一起，并且在两个测试中被分类为癌前期的组织被确定为癌前期，其中两个试验 组合是最有选择性的。 此外，其中糖原，磷酸盐和脂质的某些最佳波长但不是蛋白质的某些最佳波长区分正常和癌前组织的过程和装置。