STACKABLE GLASS CONTAINER
    1.
    发明申请
    STACKABLE GLASS CONTAINER 审中-公开
    可堆叠玻璃容器

    公开(公告)号:US20130082065A1

    公开(公告)日:2013-04-04

    申请号:US13252550

    申请日:2011-10-04

    摘要: A glass container system comprises a glass container comprising a base defining a bottom of the container and a sidewall formed integrally with the base to define an interior space. A protuberance is formed integrally with the base where the protuberance extending beyond a side wall of the base. A lid is dimensioned such that the protuberance engages the lid such that the lid may be releasably secured to the base. A glass container prepared by a process comprising the steps of providing a mold defining a container having a base at a bottom of the mold cavity where the mold cavity comprises an undercut portion that defines a recess in the mold cavity; introducing molten glass to the mold; cooling the glass to cause the glass to shrink a sufficient amount that the protuberance recedes from the recess; and removing the container from the mold in a linear direction.

    摘要翻译: 一种玻璃容器系统,包括玻璃容器,该玻璃容器包括限定容器底部的底座和与底座一体地形成以限定内部空间的侧壁。 突起与基部一体地形成,突起延伸超过基部的侧壁。 盖的尺寸使得突起与盖接合,使得盖可以可释放地固定到基部。 一种通过一种方法制备的玻璃容器,包括以下步骤:提供限定容器的模具,所述容器在模腔的底部具有基部,其中模腔包括限定模腔中的凹部的底切部分; 将熔融玻璃引入模具中; 冷却玻璃以使玻璃收缩足够的量,使得突起从凹部中退出; 并沿直线方向从模具中取出容器。

    COMPUTER-AIDED DETECTION AND CLASSIFICATION OF SUSPICIOUS MASSES IN BREAST IMAGERY
    2.
    发明申请
    COMPUTER-AIDED DETECTION AND CLASSIFICATION OF SUSPICIOUS MASSES IN BREAST IMAGERY 有权
    乳腺成像中计算机辅助检测和分类的可疑质量

    公开(公告)号:US20100067754A1

    公开(公告)日:2010-03-18

    申请号:US12211593

    申请日:2008-09-16

    IPC分类号: G06K9/00 G06K9/62

    摘要: Methods, a system, and a computer readable medium are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In accordance with certain embodiments, for each suspicious mass located, a quantitative measure of spiculation and quantitative measure of density are computed. At least one classification scheme is then selected for each suspicious mass according to both quantitative measures. Each classification scheme is developed using true positives and false positives with similar quantitative measures.In accordance with certain other embodiments, for each suspicious mass located, a measure of breast location is computed. At least one classification scheme is then selected for each suspicious mass according to the measure of breast location. Each classification scheme is developed using true positives and false positives that appear in the same breast location. In one embodiment, the location measure determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.

    摘要翻译: 提出了方法,系统和计算机可读介质,其以高灵敏度和可接受的假阳性率检测和分类显示具有螺旋和/或密度特征的质量样区域。 在乳房的医学图像中识别出一个或多个可疑群体。 根据某些实施例,对于每个可疑的质量位置,计算密度的定量测量和密度的定量测量。 然后根据这两种量化措施,为每个可疑物质选择至少一种分类方案。 每个分类方案是使用具有相似量化措施的真阳性和假阳性来开发的。 根据某些其他实施例,对于位于每个可疑质量块,计算乳房位置的量度。 然后根据乳房位置的测量,为每个可疑质量选择至少一个分类方案。 每个分类方案使用出现在同一乳房位置的真阳性和假阳性进行开发。 在一个实施例中,位置测量确定可疑质量是否出现在乳房的实质区域的内部或外部。

    Computer-aided detection and classification of suspicious masses in breast imagery
    6.
    发明授权
    Computer-aided detection and classification of suspicious masses in breast imagery 有权
    计算机辅助检测和乳腺图像中可疑肿块的分类

    公开(公告)号:US08687867B1

    公开(公告)日:2014-04-01

    申请号:US13465808

    申请日:2012-05-07

    IPC分类号: G06K9/00 A61B6/04 G01N23/00

    摘要: Systems and methods are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In certain embodiments, a quantitative measure of spiculation and quantitative measure of density are computed for each suspicious mass located. At least one classification scheme, developed using true and false positives with similar quantitative measures, is then selected for each suspicious mass according to both quantitative measures. In certain other embodiments, a measure of breast location is computed for each suspicious mass. In one embodiment, the location determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.

    摘要翻译: 提出了系统和方法,其以高灵敏度和可接受的假阳性率检测和分类显示具有螺旋和/或密集特征的质量样区域。 在乳房的医学图像中识别出一个或多个可疑群体。 在某些实施方案中,针对位于每个可疑质量计算密度的定量测量和密度的定量测量。 然后,根据这两种量化方法,选择至少一种使用具有相似量化措施的真假假阳性分类方案。 在某些其他实施例中,针对每个可疑质量计算乳房位置的度量。 在一个实施例中,该位置确定可疑质量是否出现在乳房的实质区域的内部或外部。

    METHOD OF MAKING A MOLDED GLASS ARTICLE
    7.
    发明申请
    METHOD OF MAKING A MOLDED GLASS ARTICLE 有权
    制造模制玻璃制品的方法

    公开(公告)号:US20130081427A1

    公开(公告)日:2013-04-04

    申请号:US13252537

    申请日:2011-10-04

    摘要: A method of making a glass container comprising providing a mold defining an article having a base at a bottom of the mold cavity where the mold cavity comprises an undercut portion that defines a recess in the mold cavity; introducing molten glass to the mold; cooling the glass to cause the glass to shrink a sufficient amount that the protuberance recedes from the recess; and removing the container from the mold in a linear direction.

    摘要翻译: 一种制造玻璃容器的方法,包括提供模具,所述模具限定在所述模腔的底部具有基部的制品,其中所述模腔包括限定所述模腔中的凹部的底切部分; 将熔融玻璃引入模具中; 冷却玻璃以使玻璃收缩足够的量,使得突起从凹部中退出; 并沿直线方向从模具中取出容器。

    Computer-aided detection and classification of suspicious masses in breast imagery
    10.
    发明授权
    Computer-aided detection and classification of suspicious masses in breast imagery 有权
    计算机辅助检测和乳腺图像中可疑肿块的分类

    公开(公告)号:US08175351B2

    公开(公告)日:2012-05-08

    申请号:US12211593

    申请日:2008-09-16

    IPC分类号: G06K9/00 G06K9/62 A61B6/04

    摘要: Methods are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In certain embodiments, a quantitative measure of spiculation and quantitative measure of density are computed for each suspicious mass located. At least one classification scheme, developed using true and false positives with similar quantitative measures, is then selected for each suspicious mass according to both quantitative measures. In certain other embodiments, a measure of breast location is computed for each suspicious mass. In one embodiment, the location determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.

    摘要翻译: 提出了以高灵敏度和可接受的假阳性率检测和分类显示具有螺旋和/或致密特征的质粒状区域的方法。 在乳房的医学图像中识别出一个或多个可疑群体。 在某些实施方案中,针对位于每个可疑质量计算密度的定量测量和密度的定量测量。 然后,根据这两种定量方法,选择至少一种使用具有相似量化措施的真假假阳性分类方案。 在某些其他实施例中,针对每个可疑质量计算乳房位置的度量。 在一个实施例中,该位置确定可疑质量是否出现在乳房的实质区域的内部或外部。