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1. 发明授权

US07680314B2 Devices, systems, and methods for improving image consistency 失效
标题翻译：用于提高图像一致性的设备，系统和方法
公开(公告)号：US07680314B2
公开(公告)日：2010-03-16
申请号：US11539662
申请日：2006-10-09
申请人： Lin Hong
发明人： Lin Hong
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06T7/143
摘要： Certain exemplary embodiments can comprise a method, which can comprise automatically rendering an improved image of a target object. The improved image obtained based upon a principal mode of the target object. The principal mode of the target object can be provided to an algorithm that is adapted to derive the improved image of the target object.
摘要翻译：某些示例性实施例可以包括一种方法，其可以包括自动呈现目标对象的改进的图像。基于目标对象的主要模式获得的改进的图像。可以将目标对象的主要模式提供给适于导出目标对象的改进图像的算法。

2. 发明申请

US20090041328A1 Feature Processing For Lung Nodules In Computer Assisted Diagnosis 有权
标题翻译：计算机辅助诊断中肺结节特征处理
公开(公告)号：US20090041328A1
公开(公告)日：2009-02-12
申请号：US12170639
申请日：2008-07-10
申请人： Lin Hong , Christopher V. Alvino , Hong Shen
发明人： Lin Hong , Christopher V. Alvino , Hong Shen
IPC分类号： G06K9/62
CPC分类号： G06T7/0012 , G06T2207/30061 , G06T2207/30064
摘要： Feature processing is provided for lung nodules in computer-assisted diagnosis. A feature that may better distinguish nodules from background is extracted using a Hough transform. Rather than relying on a specific boundary shape, the Hough transform accumulates evidence associated with a region, such as a ring region. The accumulated evidence provides a feature score without requiring a nodule to fit a specific shape. In another approach, a background level is determined from extracted features. Rather than attempting to normalize an image prior to extraction, the features are normalized. The feature normalization and generalized Hough transform extraction may be used together or alone.
摘要翻译：在计算机辅助诊断中为肺结节提供特征处理。使用霍夫变换提取可以更好地区分结节与背景的特征。霍夫变换不是依赖于特定的边界形状，而是累积与区域相关联的证据，例如环形区域。积累的证据提供了一个特征分数，而不需要结节来适应特定的形状。在另一种方法中，从提取的特征确定背景级别。在尝试在提取之前对图像进行归一化，而不是将特征归一化。特征归一化和广义霍夫变换提取可以一起使用或单独使用。

3. 发明申请

US20080112605A1 Methods and Apparatus for Automatic Body Part Identification and Localization 审中-公开
标题翻译：自动身体部位识别和定位的方法和装置
公开(公告)号：US20080112605A1
公开(公告)日：2008-05-15
申请号：US11933518
申请日：2007-11-01
申请人： Lin Hong , Shen Hong
发明人： Lin Hong , Shen Hong
IPC分类号： A61B5/00
CPC分类号： G06T7/74 , G06T2207/30004
摘要： Methods and apparatus are disclosed for automatically identifying and locating body parts in medical imaging. To automatically identify body parts of in an image, an identification and location algorithm is used. This establishes a reference frame in relation to the image. Then, a location of the head in relation to the frame is established. After upper and lower boundaries of the head are determined, a neck section of the image is identified. The neck section is identified using the lower boundary of the head section. The location of the neck section is then found. A thorax cage section is found and located positively below the neck section. The abdomen and pelvis are identified together and ultimately separately located and identified.
摘要翻译：公开了用于在医学成像中自动识别和定位身体部位的方法和装置。为了自动识别图像中的身体部位，使用识别和位置算法。这建立了与图像相关的参考帧。然后，建立头部相对于框架的位置。在确定头部的上边界和下边界之后，识别图像的颈部。使用头部的下边界识别颈部。然后找到颈部的位置。发现一个胸部保持架部分，并正确地位于颈部部分。腹部和骨盆被一起识别，最终分开定位和识别。

4. 发明申请

US20060093217A1 Object detection using cross-section analysis 失效
公开(公告)号：US20060093217A1
公开(公告)日：2006-05-04
申请号：US11256471
申请日：2005-10-21
申请人： Lin Hong , Hong Shen , Shuping Qing
发明人： Lin Hong , Hong Shen , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06K9/00201 , G06T7/0012
摘要： In a method of 3-D object detection, an image is pre-processed. Using cross-section analysis, a confidence array is built. A plurality of peaks in the confidence array are detected, wherein the peaks signify a likelihood of a 3-D object of interest.

5. 发明申请

US20050168029A1 APPARATUS FOR ADJUSTING INCLINATION OF CHAIR BACKS 有权
标题翻译：调整椅背的装置
公开(公告)号：US20050168029A1
公开(公告)日：2005-08-04
申请号：US10768592
申请日：2004-01-30
申请人： Lin Hong
发明人： Lin Hong
IPC分类号： A47C1/024 , A47C1/026 , A47C1/032 , A47C7/00 , A47C7/40 , G05G5/06
CPC分类号： A47C1/03255 , A47C1/03238
摘要： An apparatus for adjusting the inclination of a chair back, is disposed on the chassis at the bottom of a cushion and pivotally coupled to the middle of a base at the upper end of chair legs. A control rod has its middle predetermined position pivotally coupled to the base. A positioning plate has a bolt at its top surface and is disposed at the rear end of the base. A resilient component is pivotally coupled such that one end of the resilient component is hooked into an end of the control rod, and the other end of the resilient component being hooked into the bolt at the top surface of the positioning plate. When the control rod is turned to swing its end, the resilient component rotates, so that one of the resilient legs of the resilient component produces an elastic push onto the positioning plate. Thus the positioning plate contracts and moves to embed into or withdrawal from a latch groove disposed at the bottom rear side of the chassis. Therefore, the pushing force of a spring can be acted completely on the positioning plate and the positioning plate can move smoother, making operation easier and simpler.
摘要翻译：一种用于调节椅子背部倾斜度的装置设置在底座上的垫子的底部，并在椅腿的上端枢转地联接到基座的中部。控制杆具有枢转地联接到基座的中间预定位置。定位板在其顶面具有螺栓，并且设置在基座的后端。弹性部件被枢转地联接，使得弹性部件的一端钩在控制杆的一端中，并且弹性部件的另一端被钩在定位板的顶表面处的螺栓中。当控制杆转动以摆动其端部时，弹性部件旋转，使得弹性部件的弹性腿之一产生弹性推动到定位板上。因此，定位板收缩并移动以嵌入到设置在底盘的后后侧的闩锁槽或从其中取出。因此，弹簧的推力可以完全作用在定位板上，定位板可以更平稳地移动，使操作更简单。

6. 发明授权

US06263091B1 System and method for identifying foreground and background portions of digitized images 失效
标题翻译：用于识别数字化图像的前景和背景部分的系统和方法
公开(公告)号：US06263091B1
公开(公告)日：2001-07-17
申请号：US09030344
申请日：1998-02-25
申请人： Anil K. Jain , Lin Hong , Rudolf Maarten Bolle , Sharathchandra Umapathirao Pankanti
发明人： Anil K. Jain , Lin Hong , Rudolf Maarten Bolle , Sharathchandra Umapathirao Pankanti
IPC分类号： G06K900
CPC分类号： G06K9/00067 , G06K9/00087
摘要： Disclosed in a system and method for segmenting foreground pixel from background pixels in a digital image, specifically a fingerprint image. First the image is divided into blocks of optimal size. Then, for a given block, an overall gradient magnitude and a projected gradient magnitude is determined. The overall gradient magnitude is a measure of the amount of intensity variation in the current block. If a large number (or all) of the pixels have a direction that is the same as the overall gradient direction, the projected gradient magnitude will be nearly equal (will be equal) to the overall gradient magnitude. This indicates that the current block is a block in the foreground of the image. A relationship, e.g., a ratio, of the over gradient magnitude to the overall projected gradient magnitude is taken certainty level that the current block is in the foreground or background of the image. Connected blocks making up the largest region of foreground blocks are considered the foreground region, the rest of the blocks/regions are discarded (considered as background).
摘要翻译：公开在用于从数字图像中的背景像素（特别是指纹图像）分割前景像素的系统和方法中。首先，图像被分成最佳大小的块。然后，对于给定的块，确定总体梯度幅度和投影梯度幅度。总体梯度幅度是当前块中强度变化量的量度。如果大量（或全部）像素具有与总体梯度方向相同的方向，则投影的梯度大小将几乎等于（等于）整个梯度大小。这表示当前块是图像前景中的块。将过度梯度大小与总体投影梯度幅度的关系（例如比例）确定为当前块处于图像的前景或背景中的确定度。构成前景块最大区域的连接块被认为是前景区域，其余块/区域被丢弃（被视为背景）。

7. 发明授权

US6049621A Determining a point correspondence between two points in two respective (fingerprint) images 失效
标题翻译：确定两个相应（指纹）图像中两点之间的点对应关系
公开(公告)号：US6049621A
公开(公告)日：2000-04-11
申请号：US30345
申请日：1998-02-25
申请人： Anil K. Jain , Lin Hong , Rudolf Maarten Bolle , Sharathchandra Umapathirao Pankanti
发明人： Anil K. Jain , Lin Hong , Rudolf Maarten Bolle , Sharathchandra Umapathirao Pankanti
IPC分类号： G06K9/00
CPC分类号： G06K9/00087
摘要： The invention is a system and method for determining a correspondence between a point selected from a set of points extracted from one image and an another point selected from the second set of points extracted from another image based on similarity of relationships of attributes associated with segments attached to the points.
摘要翻译：本发明是一种系统和方法，用于基于与附加的片段相关联的属性的关系的相似度来确定从从一个图像提取的一组点中选择的点与从另一图像提取的第二组点中选择的另一点之间的对应关系到点。

8. 发明申请

US20100267609A1 COMPOUNDS WHICH INHIBIT BETA-SECRETASE ACTIVITY AND METHODS OF USE THEREOF 审中-公开
标题翻译：抑制β-分泌酶活性的化合物及其使用方法
公开(公告)号：US20100267609A1
公开(公告)日：2010-10-21
申请号：US12481339
申请日：2009-06-09
申请人： Arun K. GHOSH , Jordan J. N. Tang , Geoffrey Bilcer , Wanpin Chang , Lin Hong , Gerald E. Koelsch , Jeffrey A. Loy , Robert T. Turner, III , Thippeswamy Devasumadram
发明人： Arun K. GHOSH , Jordan J. N. Tang , Geoffrey Bilcer , Wanpin Chang , Lin Hong , Gerald E. Koelsch , Jeffrey A. Loy , Robert T. Turner, III , Thippeswamy Devasumadram
IPC分类号： A61K38/07 , C07K5/10 , A61K38/16 , A61P25/28
CPC分类号： C07D207/16 , A61K38/00 , C07D213/30 , C07D213/40 , C07D215/14 , C07D215/36 , C07D215/54 , C07D231/12 , C07D233/56 , C07D249/08 , C07D307/14 , C07D307/16 , C07D307/20 , C07D307/93 , C07D493/04 , C07K5/0207 , C07K14/8142 , C07K2299/00 , C12N9/6478 , C12Q1/37 , G01N33/6896
摘要： Compounds inhibit memapsin 2 β-secretase activity and selectively inhibit memapsin 2 β-secretase activity relative to memapsin 1 β-secretase activity. The compounds are employed in methods to inhibit memapsin 2 β-secretase activity, in the treatment of Alzheimer's disease, in the inhibition of hydrolysis of a β-secretase site of a β-amyloid precursor protein and to decrease β-amyloid protein in in vitro samples and in mammals. Proteins of memapsin 2 associated with compounds of the invention are crystallized.
摘要翻译：化合物抑制Memapsin 2和bgr - 分泌酶活性，并相对于memapsin 1和bgr-分泌酶活性选择性抑制memapsin 2和bgr-分泌酶活性。这些化合物用于抑制膜蛋白2和分泌酶活性的方法，用于治疗阿尔茨海默病，抑制β-淀粉样蛋白前体蛋白的分泌酶位点的水解并降低β-淀粉样蛋白蛋白质在体外样品和哺乳动物中。与本发明化合物相关的胶原蛋白2的蛋白质结晶。

9. 发明授权

US07471815B2 Candidate generation for lung nodule detection 有权
标题翻译：肺结节检测候选代
公开(公告)号：US07471815B2
公开(公告)日：2008-12-30
申请号：US11170421
申请日：2005-06-29
申请人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
发明人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
IPC分类号： G06K9/00 , A61B6/00 , G01N23/00 , G21K1/12 , H05G1/60
CPC分类号： G06T7/0012 , G06T2207/30061
摘要： A computer-implemented method for candidate generation in three-dimensional volumetric data comprises forming a binary volumetric image of the three-dimensional volumetric data including labeled foreground voxels, estimating a plurality of shape features of the labeled foreground voxels in the binary volumetric data including, identifying peak voxels and high curvature voxels from the foreground voxels in the binary volumetric image, accumulating a plurality of confidence values for boundary and each peak voxel, and detecting confidence peaks from the plurality of confidence values, wherein the confidence peaks are determined to be the candidate points, and refining the candidate points given detected confidence peaks, wherein refined candidate points are determined to be candidates.
摘要翻译：用于在三维体积数据中候选生成的计算机实现的方法包括形成包括标记的前景体素的三维体积数据的二进制体积图像，估计二进制体积数据中标记的前景体素的多个形状特征，从所述二维体积图像中的前景体素识别峰值体素和高曲率体素，为边界和每个峰体素累积多个置信度值，以及从所述多个置信度值中检测置信峰值，其中所述置信峰值被确定为候选点，并且提取给定检测到的置信峰的候选点，其中精确的候选点被确定为候选。

10. 发明申请

US20060044310A1 Candidate generation for lung nodule detection 有权
标题翻译：肺结节检测候选代
公开(公告)号：US20060044310A1
公开(公告)日：2006-03-02
申请号：US11170421
申请日：2005-06-29
申请人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
发明人： Lin Hong , Yonggang Shi , Hong Shen , Shuping Qing
IPC分类号： G06T17/00
CPC分类号： G06T7/0012 , G06T2207/30061
摘要： A computer-implemented method for candidate generation in three-dimensional volumetric data comprises forming a binary volumetric image of the three-dimensional volumetric data including labeled foreground voxels, estimating a plurality of shape features of the labeled foreground voxels in the binary volumetric data including, identifying peak voxels and high curvature voxels from the foreground voxels in the binary volumetric image, accumulating a plurality of confidence values for boundary and each peak voxel, and detecting confidence peaks from the plurality of confidence values, wherein the confidence peaks are determined to be the candidate points, and refining the candidate points given detected confidence peaks, wherein refined candidate points are determined to be candidates.
摘要翻译：用于在三维体积数据中候选生成的计算机实现的方法包括形成包括标记的前景体素的三维体积数据的二进制体积图像，估计二进制体积数据中标记的前景体素的多个形状特征，从所述二维体积图像中的前景体素识别峰值体素和高曲率体素，为边界和每个峰体素累积多个置信度值，以及从所述多个置信度值中检测置信峰值，其中所述置信峰值被确定为候选点，并且提取给定检测到的置信峰的候选点，其中精确的候选点被确定为候选。

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