公开(公告)号：US08897537B2

公开(公告)日：2014-11-25

申请号：US13564453

申请日：2012-08-01

Applicant: Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

Inventor： Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

IPC: G06K9/00

CPC classification number: G06K9/00979

Abstract: A method and systems for cloud-based digital pathology include scanning received slides that include a pathology sample to produce a sample image in a shared memory, analyzing the sample image using one or more execution nodes, each including one or more processors, according to one or more analysis types to produce intermediate results, transmitting some or all of the sample image to a client device, further analyzing the sample image responsive to a request from the client device to produce a final analysis based on the intermediate results, and transmitting the final analysis to the client device.

Abstract translation: 用于基于云的数字病理学的方法和系统包括扫描包括病理样本的接收幻灯片，以在共享存储器中产生样本图像，根据一个或多个处理器，使用一个或多个执行节点分析样本图像，每个执行节点包括一个或多个处理器 或更多的分析类型以产生中间结果，将一些或全部样本图像发送到客户端设备，响应于来自客户端设备的请求进一步分析样本图像，以基于中间结果产生最终分析，并且传送最终的 分析到客户端设备。

公开(公告)号：US20130034304A1

公开(公告)日：2013-02-07

申请号：US13564437

申请日：2012-08-01

Applicant: Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

Inventor： Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

IPC: G06K9/46

CPC classification number: G06K9/00979

Abstract: Methods and systems for digital pathology with low-latency analytics include determining potential regions of interest within an image in accordance with one or more high-priority analyses, dividing the potential regions of interest into a plurality of sub-sections optimized for parallel computation, analyzing the sub-sections using one or more execution nodes, each including one or more processors, using a copy of the image stored in a shared memory according to the one or more high-priority analyses, and storing an intermediate analysis result based on analysis results from the one or more execution nodes in a shared memory.

Abstract translation: 具有低延迟分析的数字病理学方法和系统包括根据一个或多个高优先级分析来确定图像内的感兴趣区域，将感兴趣的潜在区域划分为针对并行计算优化的多个子部分，分析 使用根据所述一个或多个高优先级分析的存储在共享存储器中的图像的副本的每个包括一个或多个处理器的一个或多个执行节点的子部分，以及基于分析结果存储中间分析结果 来自共享存储器中的一个或多个执行节点。

公开(公告)号：US20130034301A1

公开(公告)日：2013-02-07

申请号：US13564418

申请日：2012-08-01

Applicant: Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

Inventor： Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

IPC: G06K9/34

CPC classification number: G06K9/00979

Abstract: Methods and systems for interactive image analysis include receiving a selection of a region of an image and a request for analysis of the selection at an interface layer, transferring the selection and the request to an interpretation layer for analysis, dividing the selected region of the image into a plurality of sub-sections optimized for parallel computation to provide an analysis result that minimizes perceptible delay between receiving the request and receipt of results, analyzing the sub-sections using one or more execution nodes using a copy of the image stored in a shared memory, and providing combined analysis results to the interface layer for display.

Abstract translation: 用于交互式图像分析的方法和系统包括接收图像的区域的选择和在界面层处的分析选择的请求，将选择和请求传送到用于分析的解释层，分割图像的所选区域 分成针对并行计算优化的多个子部分，以提供最小化接收到请求和接收结果之间的可感知延迟的分析结果，使用一个或多个执行节点使用存储在共享中的图像的副本来分析子部分 内存，并提供组合分析结果到界面层进行显示。

公开(公告)号：US5258946A

公开(公告)日：1993-11-02

申请号：US654845

申请日：1991-02-13

Applicant: Hans P. Graf

Inventor： Hans P. Graf

IPC: G11C15/04 ,  H03F3/45 ,  H03K19/23

CPC classification number: G11C15/04

Abstract: A measure of the correlation or degree of closeness between an input data pattern and a stored data pattern is achieved directly from content-addressable memory cells which are realized in accordance with the principles of the present invention to provide a match/non-match output indication which is summable with other such match/non-match output indications on a match bus line for computing the correlation or degree of closeness measure. Each content-addressable memory cell includes a single bit, static random access memory cell and a comparing logic gate connected jointly to the output of the static random access memory cell and the bit bus line for the single bit of the input data pattern. Output of the comparing logic gate is connected to the match bus line and is generated as a fixed amount of current which can be summed with other current on the match bus line. The output stage of the comparing gate is thus operated as a current source. Each content-addressable memory cell accepts digital input signals and delivers a usable analog output signal. In one embodiment, the content-addressable memory cell is realized in a complementary metal oxide semiconductor technology and the comparing logic gate is an exclusive-NOR gate.

Abstract translation: 直接从根据本发明的原理实现的内容可寻址存储器单元实现输入数据模式和存储的数据模式之间的相关性或接近程度的度量，以提供匹配/不匹配输出指示 其可以与匹配总线上的其他这样的匹配/不匹配输出指示相加，以计算相关度或接近程度度量。 每个内容可寻址存储器单元包括单个位，静态随机存取存储器单元和与静态随机存取存储器单元的输出端连接的比较逻辑门和用于输入数据模式的单个位的位总线。 比较逻辑门的输出连接到匹配总线，并且被产生为与匹配总线上的其他电流相加的固定电流量。 因此，比较门的输出级作为电流源工作。 每个可内容寻址的存储单元接受数字输入信号并传送可用的模拟输出信号。 在一个实施例中，内容寻址存储器单元以互补金属氧化物半导体技术实现，并且比较逻辑门是异或非门。

公开(公告)号：US08934718B2

公开(公告)日：2015-01-13

申请号：US13564418

申请日：2012-08-01

Applicant: Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

Inventor： Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

IPC: G06K9/46 ,  G06K9/00

CPC classification number: G06K9/00979

Abstract: Methods and systems for interactive image analysis include receiving a selection of a region of an image and a request for analysis of the selection at an interface layer, transferring the selection and the request to an interpretation layer for analysis, dividing the selected region of the image into a plurality of sub-sections optimized for parallel computation to provide an analysis result that minimizes perceptible delay between receiving the request and receipt of results, analyzing the sub-sections using one or more execution nodes using a copy of the image stored in a shared memory, and providing combined analysis results to the interface layer for display.

Abstract translation: 用于交互式图像分析的方法和系统包括接收图像的区域的选择和在界面层处的分析选择的请求，将选择和请求传送到用于分析的解释层，分割图像的所选区域 分成针对并行计算优化的多个子部分，以提供最小化接收到请求和接收结果之间的可感知延迟的分析结果，使用一个或多个执行节点使用存储在共享中的图像的副本来分析子部分 内存，并提供组合分析结果到界面层进行显示。

公开(公告)号：US20130034279A1

公开(公告)日：2013-02-07

申请号：US13564453

申请日：2012-08-01

Applicant: Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

Inventor： Eric Cosatto ,  Christopher Malon ,  Hans P. Graf

IPC: G06K9/62

CPC classification number: G06K9/00979

Abstract: A method and systems for cloud-based digital pathology include scanning received slides that include a pathology sample to produce a sample image in a shared memory, analyzing the sample image using one or more execution nodes, each including one or more processors, according to one or more analysis types to produce intermediate results, transmitting some or all of the sample image to a client device, further analyzing the sample image responsive to a request from the client device to produce a final analysis based on the intermediate results, and transmitting the final analysis to the client device.

Abstract translation: 用于基于云的数字病理学的方法和系统包括扫描包括病理样本的接收幻灯片，以在共享存储器中产生样本图像，根据一个或多个处理器，使用一个或多个执行节点分析样本图像，每个执行节点包括一个或多个处理器 或更多的分析类型以产生中间结果，将一些或全部样本图像发送到客户端设备，响应于来自客户端设备的请求进一步分析样本图像，以基于中间结果产生最终分析，并且传送最终的 分析到客户端设备。

公开(公告)号：US5224179A

公开(公告)日：1993-06-29

申请号：US814956

申请日：1991-12-30

Applicant: John S. Denker ,  Hans P. Graf ,  Donnie Henderson ,  Richard E. Howard ,  Wayne E. Hubbard ,  Lawrence D. Jackel ,  Lawrence O'Gorman

Inventor： John S. Denker ,  Hans P. Graf ,  Donnie Henderson ,  Richard E. Howard ,  Wayne E. Hubbard ,  Lawrence D. Jackel ,  Lawrence O'Gorman

IPC: G06K9/44 ,  G06K9/56

CPC classification number: G06K9/44 ,  G06K9/56 ,  G06K2209/01

Abstract: A method for improved thinning or skeletonizing handwritten characters or other variable-line-width images. The method scans a template set over the image to be thinned. Each template has a specific arrangement of dark and light pixels. At least one of those templates includes either more than three pixels per row or more than three rows of pixels. An odd number is good choice. Moreover, the templates are chosen so that each template can unconditionally delete image pixels without consideration of the effect of such deletions on the behavior of the other templates. Thus the templates are independent of each other.

Abstract translation: 一种用于改善手写字符或其他可变行宽图像的稀疏化或骨架化的方法。 该方法扫描要稀释的图像上的模板集。 每个模板都具有特定的暗和浅像素排列。 这些模板中的至少一个包括每行多于三个像素或多于三行像素。 奇数是好的选择。 此外，选择模板，使得每个模板可以无条件地删除图像像素，而不考虑这种删除对其他模板的行为的影响。 因此，模板彼此独立。

公开(公告)号：US4901271A

公开(公告)日：1990-02-13

申请号：US293598

申请日：1989-01-04

Applicant: Hans P. Graf

Inventor： Hans P. Graf

IPC: G06N3/04 ,  G06N3/063

CPC classification number: G06N3/0445 ,  G06N3/063

Abstract: A new associative computation network that is capable of storing multi-bit vectors includes a decision network and a feedback arrangement that, functionally, is separable into serially connected networks. The first network has its inputs connectd to the outputs of the decision network and is arranged to develop sets of excitatory and inhibitory drive signals. Each set corresponds to a stored vecor. For each different output state of the decision network, a different one of the drive signal sets appears at the output of the first network. The output leads of the first network, which may also be employed as the input interface leads, are connected to the second network. The second network develops output signals, applied to inputs of the decision network, which are proportional to the projection of the input signals applied to the second network on the stored vectors.

Abstract translation: 能够存储多位向量的新的关联计算网络包括决策网络和功能上可分离成串行连接的网络的反馈装置。 第一个网络的输入连接到决策网络的输出，并且被设置为开发一组兴奋和抑制驱动信号。 每组对应于存储的vec​​or。 对于决策网络的每个不同的输出状态，在第一网络的输出处出现不同的驱动信号组。 也可以用作输入接口引线的第一网络的输出引线连接到第二网络。 第二网络产生应用于决策网络的输入端的输出信号，其与在存储向量上施加到第二网络的输入信号的投影成比例。

公开(公告)号：US5631984A

公开(公告)日：1997-05-20

申请号：US418917

申请日：1995-04-07

Applicant: Hans P. Graf ,  Daniel J. Mayer

Inventor： Hans P. Graf ,  Daniel J. Mayer

IPC: G06K9/00 ,  G06K9/20 ,  G06K9/66 ,  H04N1/411 ,  H04N1/417

CPC classification number: G06K9/00449 ,  H04N1/4115 ,  H04N1/4177

Abstract: The present invention provides a method and apparatus for compressing images of financial instruments and other documents. The method of the present invention includes the steps of scanning a plurality of documents to obtain an electronic image of each document; identifying a static portion in the electronic image of each of the documents, containing information which remains substantially unchanged for the plurality of documents, by locating and reading a document identifier in the image; storing the document identifier in a database; identifying a dynamic portion, typically containing distinct information for each of the documents, in each of the electronic images; isolating the dynamic portion from the static portion within the image to obtain a dynamic image containing only the dynamic portion; and storing the dynamic image in the database. The present invention provides efficient techniques for identifying and isolating dynamic information in a document, such as handwritten text on a check.

Abstract translation: 本发明提供了一种用于压缩金融工具和其他文件的图像的方法和装置。 本发明的方法包括扫描多个文档以获得每个文档的电子图像的步骤; 通过在图像中定位和读取文档标识符来识别每个文档的电子图像中的静态部分，其中包含对于多个文档保持基本上不变的信息; 将文档标识符存储在数据库中; 识别在每个电子图像中通常包含每个文档的不同信息的动态部分; 将动态部分与图​​像内的静态部分隔离以获得仅包含动态部分的动态图像; 并将动态图像存储在数据库中。 本发明提供了用于识别和隔离文档中的动态信息（例如支票上的手写文本）的有效技术。

公开(公告)号：US4875183A

公开(公告)日：1989-10-17

申请号：US122870

申请日：1987-11-19

Applicant: Hans P. Graf ,  Richard E. Howard

Inventor： Hans P. Graf ,  Richard E. Howard

IPC: G06G7/60 ,  G06F15/18 ,  G06N3/04 ,  G06N3/063 ,  G06N99/00

CPC classification number: G06N3/063 ,  G06N3/0635

Abstract: The operation of neural networks begins with the initialization of the system with the information to be processed. Presently, this initialization is performed by pinning the system with rather large analog or digital signals representing this information. The problems associated with the high power required for such initialization are eliminated and accuracy is maintained by utilizing a specific set of input points and appropriately positioned switches. In particular, a switch corresponding to each amplifier is introduced, and the initializing data is introduced between the amplifier and this switch.

Abstract translation: 神经网络的操作从系统的初始化开始，并具有要处理的信息。 目前，通过用相当大的模拟或数字信号代表该信息来固定系统来执行该初始化。 消除了与这种初始化所需的高功率相关的问题，并通过利用特定的一组输入点和适当定位的开关来保持精度。 特别地，引入对应于每个放大器的开关，并且在放大器和该开关之间引入初始化数据。