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1. 发明申请

WO2018044364A1 METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH SELF COLOR COMPENSATION 审中-公开
标题翻译：用自身颜色补偿拍摄伤痕评估图像的方法和系统
公开(公告)号：WO2018044364A1
公开(公告)日：2018-03-08
申请号：PCT/US2017/032173
申请日：2017-05-11
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： MING, Wei
IPC分类号： G06T15/08 , A61B5/107 , A61B6/00 , G06T11/00 , G06T11/60 , G06T15/00
摘要： A wound image capture method that uses self color compensation to improve color consistency of the captured image and reliability of color-based wound detection. The method uses the skin tone of parts of the patient's own body for color calibration and compensation. In a data registration process, multiple parts of a new patient's body are imaged as baseline images and color data of the baseline images are registered in the system as reference color data. During subsequent wound image capture and wound assessment process, the same parts of the patient's body are imaged again as baseline images, and the wound and its surrounding areas are also imaged. Color data of the newly capture baseline images are compared to the registered reference color data and used to perform color compensation for the wound image.
摘要翻译：一种伤口图像捕获方法，其使用自身颜色补偿来改善捕获图像的颜色一致性和基于颜色的伤口检测的可靠性。该方法使用患者自身身体部位的肤色进行颜色校准和补偿。在数据注册过程中，将新患者身体的多个部分成像为基线图像，并将基线图像的颜色数据作为参考颜色数据注册在系统中。在随后的伤口图像捕获和伤口评估过程中，将患者身体的相同部分再次成像为基线图像，并且伤口及其周围区域也被成像。新捕获的基线图像的颜色数据与注册的参考颜色数据进行比较，并用于对伤口图像执行颜色补偿。

2. 发明申请

WO2017205285A1 METHOD OF FORMING TRANSPARENT CORRELATED METAL ELECTRODE 审中-公开
标题翻译：形成透明相关金属电极的方法
公开(公告)号：WO2017205285A1
公开(公告)日：2017-11-30
申请号：PCT/US2017/033830
申请日：2017-05-22
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： AMANO, Jun
IPC分类号： C23C14/22 , C01G31/02
CPC分类号： H01L51/5203 , C23C14/088 , C23C14/58 , C23C16/409 , C23C16/56 , H01L27/3276 , H01L51/56 , H01L2251/305 , H01L2251/5338
摘要： A method of fabricating a flexible transparent conductive electrode layer includes depositing a correlated metal film having a thickness between 10nm and 100nm on a flexible transparent substrate, annealing the correlated metal film with the UV pulses, and maintaining a temperature of the flexible transparent substrate below 80°C during the depositing and annealing.
摘要翻译：制造柔性透明导电电极层的方法包括：在柔性透明基板上沉积厚度在10nm和100nm之间的相关金属膜;用UV脉冲对相关金属膜进行退火;以及维持在沉积和退火过程中柔性透明衬底的温度低于80℃。

3. 发明申请

WO2016040059A1 SPFS BIOSENSOR BASED ON NUCLEIC ACID LIGAND STRUCTURAL CHANGE 审中-公开
标题翻译： SPFS生物传感器基于核酸配体结构变化
公开(公告)号：WO2016040059A1
公开(公告)日：2016-03-17
申请号：PCT/US2015/047988
申请日：2015-09-01
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： YAMAMOTO, Noriaki
IPC分类号： G01N21/64 , G01N21/77
CPC分类号： G01N33/542 , C12Q1/6804 , G01N21/6428 , G01N21/648 , G01N33/54373 , G01N2021/6417 , G01N2021/6439
摘要： A DNA ligand capable of structural changes upon binding to a target is used as a molecular switch with a SPFS (surface plasmon field-enhanced fluorescence spectroscopy) biosensor to realize one-step SPFS biosensing with rapid turnaround time. The SPFS biosensor has a thin metal film on a prism; when a light of a certain wavelength irradiates on the prism at a certain angle, a strong electrical field is generated at the surface of the metal film. The DNA is immobilized on the metal film surface with its free terminal modified with a fluorescent marker. Without the target, the DNA is folded and the fluorescent marker is located in the region of metal quenching near the metal surface. Upon binding to the target, the DNA is extended and the fluorescent marker is located in the region of enhanced electric field near the metal surface and emits a strong fluorescent signal.
摘要翻译：使用能够结合靶标的结构变化的DNA配体作为具有SPFS（表面等离子体增强型荧光光谱）生物传感器的分子开关，以快速周转时间实现一步SPFS生物传感。 SPFS生物传感器在棱镜上具有薄金属膜; 当一定波长的光以一定角度照射在棱镜上时，在金属膜的表面产生强电场。将DNA固定在金属膜表面上，其游离末端用荧光标记物修饰。没有目标，DNA被折叠，荧光标记位于金属表面附近的金属淬火区域。当结合靶标时，扩展DNA并且荧光标记物位于金属表面附近的增强电场区域并发射强荧光信号。

4. 发明申请

WO2018125338A1 METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH MOISTURE DETECTION 审中-公开
公开(公告)号：WO2018125338A1
公开(公告)日：2018-07-05
申请号：PCT/US2017/053624
申请日：2017-09-27
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： MING, Wei , ZHAN, Xiaonong , AKAHORI, Taisuke
IPC分类号： A61B5/00 , A61B5/103 , A61B5/107 , A61B6/00 , G06T7/00 , G06T7/40 , G06T7/50 , G06T7/60
摘要： A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

5. 发明申请

WO2018052587A1 METHOD AND SYSTEM FOR CELL IMAGE SEGMENTATION USING MULTI-STAGE CONVOLUTIONAL NEURAL NETWORKS 审中-公开
标题翻译：使用多级卷积神经网络进行细胞图像分割的方法和系统
公开(公告)号：WO2018052587A1
公开(公告)日：2018-03-22
申请号：PCT/US2017/046173
申请日：2017-08-09
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： ZHANG, Yongmian , ZHU, Jingwen
IPC分类号： G06N3/02
CPC分类号： G06K9/6262 , G06K9/0014 , G06K9/34 , G06K9/6256 , G06N3/0454 , G06N3/08
摘要： An artificial neural network system for image classification, including multiple independent individual convolutional neural networks (CNNs) connected in multiple stages, each CNN configured to process an input image to calculate a pixelwise classification. The output of an earlier stage CNN, which is a class score image having identical height and width as its input image and a depth of N representing the probabilities of each pixel of the input image belonging to each of N classes, is input into the next stage CNN as input image. When training the network system, the first stage CNN is trained using first training images and corresponding label data; then second training images are forward propagated by the trained first stage CNN to generate corresponding class score images, which are used along with label data corresponding to the second training images to train the second stage CNN.
摘要翻译：一种用于图像分类的人工神经网络系统，其包括多级连接的多个独立单独卷积神经网络（CNN），每个CNN被配置为处理输入图像以计算像素级分类。作为具有与其输入图像相同的高度和宽度的类别评分图像以及表示属于N个类别中的每一个的输入图像的每个像素的概率的深度N的前级CNN的输出被输入到下一个阶段CNN作为输入图像。在训练网络系统时，使用第一训练图像和相应的标签数据训练第一级CNN; 则第二训练图像由训练的第一级CNN向前传播以生成对应的类别评分图像，其与对应于第二训练图像的标签数据一起使用以训练第二级CNN。

6. 发明申请

WO2017060888A1 METHOD AND SYSTEM FOR CAPTURING AN IMAGE FOR WOUND ASSESSMENT 审中-公开
标题翻译：用于拍摄图像的方法和系统用于创伤评估
公开(公告)号：WO2017060888A1
公开(公告)日：2017-04-13
申请号：PCT/IB2016/056352
申请日：2016-10-21
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： NG, Kim Chai , ZHAN, Xiaonong , MING, Wei
IPC分类号： A61B5/00
CPC分类号： H04N5/23222 , A61B5/0077 , A61B5/445 , A61B5/743 , A61B5/7435 , A61B2560/0475 , A61B2576/00 , G06F3/0482 , G06F19/00 , H04N5/23216 , H04N5/23293 , H04N5/247 , H04N13/20
摘要： A method is disclosed of capturing an image of a wound on a subject for wound assessment. The method includes obtaining an image of a portion of the subject with one or more cameras; displaying the image on a display panel on an imaging device; obtaining a stored condition from a memory; obtaining a present condition; comparing the stored condition and the present condition; displaying a crosshair over the image on the display panel when it is decided that the present condition corresponds to the stored condition on the basis of the comparison; receiving an instruction for capturing; and capturing an image of the wound in response to the received instruction.
摘要翻译：公开了一种捕获受试者的伤口的图像以进行伤口评估的方法。该方法包括利用一个或多个照相机获取被摄体的一部分的图像; 将图像显示在成像装置上的显示面板上; 从存储器获取存储条件; 获得现状; 比较存储条件和现状; 当基于比较确定当前条件对应于存储条件时，在显示面板上的图像上显示十字准线; 接收捕获指令; 以及响应于所接收的指令捕获伤口的图像。

7. 发明申请

WO2016033279A1 METHOD AND SYSTEM OF TEMPORAL SEGMENTATION FOR GESTURE ANALYSIS 审中-公开
标题翻译：方法分析的时间分割方法与系统
公开(公告)号：WO2016033279A1
公开(公告)日：2016-03-03
申请号：PCT/US2015/047095
申请日：2015-08-27
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： AUGE, Quentin , ZHANG, Yongmian , GU, Haisong
IPC分类号： G06F3/01
CPC分类号： G06K9/00342 , G06K9/00201 , G06K9/00765
摘要： A method, system and non-transitory computer readable medium are disclosed for recognizing gestures, the method includes capturing at least one three-dimensional (3D) video stream of data on a subject; extracting a time-series of skeletal data from the at least one 3D video stream of data; isolating a plurality of points of abrupt content change called temporal cuts, the plurality of temporal cuts defining a set of non-overlapping adjacent segments partitioning the time-series of skeletal data; identifying among the plurality of temporal cuts, temporal cuts of the time-series of skeletal data having a positive acceleration; and classifying each of the one or more pair of consecutive cuts with the positive acceleration as a gesture boundary.
摘要翻译：公开了一种用于识别手势的方法，系统和非暂时性计算机可读介质，所述方法包括：在对象上捕获数据的至少一个三维（3D）视频流; 从所述至少一个3D视频数据流中提取骨架数据的时间序列; 分离称为时间切割的多个突变内容变化点，所述多个时间切割定义了划分所述时间序列骨骼数据的一组不重叠的相邻分段; 在多个时间切割之间识别具有正加速度的骨架数据的时间序列的时间切割; 并且将正加速度的一个或多个连续切片中的每一个分类为手势边界。

8. 发明申请

WO2015153266A1 METHOD AND SYSTEM FOR ANALYZING EXAM-TAKING BEHAVIOR AND IMPROVING EXAM-TAKING SKILLS 审中-公开
标题翻译：分析考试行为和改进考试技巧的方法与系统
公开(公告)号：WO2015153266A1
公开(公告)日：2015-10-08
申请号：PCT/US2015/022681
申请日：2015-03-26
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： MING, Wei , TIAN, Yibin
IPC分类号： G09B5/02 , G09B7/06
CPC分类号： G09B7/00
摘要： A method, a computer program product, and a system for analyzing exam-taking behavior and improving exam-taking skills are disclosed, the method includes obtaining a student answering sequence and timing to an examination having a series of questions; comparing the student answering sequence and timing with results from a statistic analysis of the examination obtained from a plurality of students; and identifying an abnormality in the student answering sequence and timing according to the comparison.
摘要翻译：公开了一种方法，计算机程序产品和用于分析考试行为和提高考试技能的系统，该方法包括获得一系列问题的学生回答顺序和时间考试; 将学生回答顺序和时间与来自多位学生的考试统计分析结果进行比较; 并根据比较来识别学生回答顺序和定时的异常。

9. 发明申请

WO2012134467A1 ADAPTIVE LIGHTING SYSTEM WITH LOW ENERGY CONSUMPTION 审中-公开
标题翻译：自适应照明系统，能耗低
公开(公告)号：WO2012134467A1
公开(公告)日：2012-10-04
申请号：PCT/US2011/030628
申请日：2011-03-31
申请人： KONICA MINOLTA LABORATORY U.S.A., INC. , HUNG, Po-Chieh
发明人： HUNG, Po-Chieh
IPC分类号： H05B37/00
CPC分类号： H05B37/0227 , H05B33/0845 , H05B33/0872 , H05B33/0896
摘要： A method for designing a lighting system, including: obtaining a selection of a color temperature (CT); obtaining, for the CT, a first spectral power distribution (SPD) corresponding to a low value color rendering index (CRI) and having a first plurality of peak wavelengths; obtaining, for the CT, a second SPD corresponding to a high value CRI and having a second plurality of peak wavelengths; and identifying a plurality of common peak wavelengths shared by the first SPD and the second SPD, where the lighting system includes a first plurality of light sources corresponding to the plurality of common peak wavelengths and a second plurality of light sources corresponding to a plurality of remaining peak wavelengths of the second plurality of peak wavelengths, and where the lighting system activates the second plurality of light sources in response to an event.
摘要翻译：一种用于设计照明系统的方法，包括：获得色温（CT）的选择; 为所述CT获得对应于低值显色指数（CRI）并且具有第一多个峰值波长的第一光谱功率分布（SPD）; 为所述CT获得对应于高值CRI并且具有第二多个峰值波长的第二SPD; 以及识别由所述第一SPD和所述第二SPD共享的多个公共峰值波长，其中所述照明系统包括对应于所述多个公共峰值波长的第一多个光源和对应于多个剩余的第二多个光源第二多个峰值波长的峰值波长，以及照明系统响应于事件激活第二多个光源的那些。

10. 发明申请

WO2018183003A1 3D IMAGING BY MULTIPLE SENSORS DURING 3D PRINTING 审中-公开
公开(公告)号：WO2018183003A1
公开(公告)日：2018-10-04
申请号：PCT/US2018/022982
申请日：2018-03-16
申请人： KONICA MINOLTA LABORATORY U.S.A., INC.
发明人： AMANO, Jun
IPC分类号： G01S17/88 , G01S17/89 , B29C64/00 , B29C64/20 , B29C64/268 , B33Y30/00 , B33Y40/00 , G06T7/50 , G06T7/70
摘要： A method for 3D printing an object, based on a 3D printable model of the object, includes scanning, by a first LiDAR sensor of a plurality of LiDAR sensors, a portion of the object while the object is being printed by a printer head. The method also includes generating an image of at least the portion of the object based on scanning the portion, generating a comparison by comparing the image with the 3D printable model, and sending a feedback signal that adjusts the printer head based on the comparison.

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