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    HISTOLOGICAL IMAGE ANALYSIS
    3.
    发明申请
    HISTOLOGICAL IMAGE ANALYSIS 审中-公开

    公开(公告)号：WO2021053135A1

    公开(公告)日：2021-03-25

    申请号：PCT/EP2020/076090

    申请日：2020-09-18

    Applicant: OSLO UNIVERSITETSSYKEHUS

    Inventor： RAEDT, Sepp De ,  SKREDE, Ole-Johan ,  DANIELSEN, Håvard Emil Greger ,  HVEEM, Tarjei Sveinsgjerd ,  KLEPPE, Andreas ,  LIESTØL, Knut

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/34 ,  G06K9/62 ,  G06K9/68 ,  G06N3/04 ,  G06N3/08

    Abstract: A computer implemented system for determining an overall-classifier for one or more source-histological-images. The system comprising: a first tile generator (204) configured to generate a plurality of first-tiles (206; 306) from the one or more source-histological-image (202; 302); and a second tile generator (205) configured to generate a plurality of second-tiles (207; 307) from the one or more source- histological-images (202; 302). The first-area of the first-tiles (206; 306) is larger than the second-area of the second-tiles (207; 307); and the second-resolution of the second-tiles (207; 307) is higher than the first-resolution of the first-tiles (206; 306). The system also includes a machine-learning network (211; 311) configured to process the plurality of first-tiles (206; 306) in order to determine a first-classifier (218; 318); a machine-learning network (215; 311) configured to process the plurality of second-tiles (207; 307) in order to determine a second-classifier (219; 319); and a classifier combiner configured to combine the first-classifier (218; 318) and the second-classifier (219; 319) to determine the overall-classifier (232; 332).

    IDENTIFYING REGIONS OF INTEREST FROM WHOLE SLIDE IMAGES
    4.
    发明申请
    IDENTIFYING REGIONS OF INTEREST FROM WHOLE SLIDE IMAGES 审中-公开

    公开(公告)号：WO2021041338A1

    公开(公告)日：2021-03-04

    申请号：PCT/US2020/047679

    申请日：2020-08-24

    Applicant: MEMORIAL SLOAN KETTERING CANCER CENTER

    Inventor： SCHAUMBURG, Andrew ,  FUCHS, Thomas

    IPC: G06K9/00 ,  G06K9/32 ,  G06K9/34 ,  G06K9/46 ,  G06K9/62 ,  G06K9/68

    Abstract: The present application relates generally to identifying regions of interest in images, including but not limited to whole slide image region of interest identification, prioritization, de- duplication, and normalization via interpretable rules, nuclear region counting, point set registration, and histogram specification color normalization. This disclosure describes systems and methods for analyzing and extracting regions of interest from images, for example biomedical images depicting a tissue sample from biopsy or ectomy. Techniques directed to quality control estimation, granular classification, and coarse classification of regions of biomedical images are described herein. Using the described techniques, patches of images corresponding to regions of interest can be extracted and analyzed individually or in parallel to determine pixels correspond to features of interest and pixels that do not. Patches that do not include features of interest, or include disqualifying features, can be disqualified from further analysis. Relevant patches can analyzed and stored with various feature parameters.

    SYSTEM AND METHOD FOR SAVING BANDWIDTH IN PERFORMING FACIAL RECOGNITION
    5.
    发明申请
    SYSTEM AND METHOD FOR SAVING BANDWIDTH IN PERFORMING FACIAL RECOGNITION 审中-公开

    公开(公告)号：WO2020263110A1

    公开(公告)日：2020-12-30

    申请号：PCT/PL2019/050036

    申请日：2019-06-25

    Applicant: MOTOROLA SOLUTIONS, INC

    Inventor： JURZAK, Pawel ,  STAWISZYNSKI, Maciej

    IPC: G06K9/00 ,  G06F16/432 ,  G06K9/68

    Abstract: Techniques for saving bandwidth in performing facial recognition are provided. An image including a face may be received, over a wireless link, at a first resolution. A facial recognition system may identify a subset of people who may be associated with the face, wherein the facial recognition system cannot definitively associate the face with an individual person in the subset of people, based on the image including the face at the first resolution. A feature of the subset of people that may be used to identify a person within the subset of people may be determined. A request for the portion of the image containing the feature at a second resolution may be sent over the wireless link. The second resolution may be higher than the first.

    字符识别方法、装置、设备及存储介质
    6.
    发明申请
    字符识别方法、装置、设备及存储介质 审中-公开

    公开(公告)号：WO2020082562A1

    公开(公告)日：2020-04-30

    申请号：PCT/CN2018/122832

    申请日：2018-12-21

    Applicant: 平安科技(深圳)有限公司

    Inventor： 周罡 ,  王彬

    IPC: G06K9/68

    Abstract: 一种基于大数据处理的字符识别方法、装置、设备及存储介质，所述方法包括：获取待识别文本（S10）；调用第一预设区域中预存的分词工具，以使所述分词工具将待识别文本划分为多个预设长度的参考字符（S20）；根据所述参考字符的目标长度在第二预设区域查找对应的预设词典，并判断所述预设词典中是否存有所述参考字符（S30）；在所述预设词典中未存有所述参考字符时，将未存有的参考字符通过模糊匹配算法筛选出目标字符（S40）。

    中文模型训练、中文图像识别方法、装置、设备及介质
    7.
    发明申请
    中文模型训练、中文图像识别方法、装置、设备及介质 审中-公开

    公开(公告)号：WO2019232853A1

    公开(公告)日：2019-12-12

    申请号：PCT/CN2018/094235

    申请日：2018-07-03

    Applicant: 平安科技(深圳)有限公司

    Inventor： 高梁梁 ,  周罡

    IPC: G06K9/68

    Abstract: 一种中文模型训练、中文图像识别方法、装置、设备及介质，该中文模型训练方法包括：获取训练手写中文图像（S11）；将训练手写中文图像按预设比例划分成训练集和测试集（S12）；对训练集中的训练手写中文图像进行顺序标注，并将标注好的训练手写中文图像输入到卷积神经网络-长短时记忆神经网络中进行训练，采用时序分类算法对卷积神经网络-长短时记忆神经网络的网络参数进行更新，获取原始手写字识别模型（S13）；采用测试集中的训练手写中文图像对原始手写字识别模型进行测试，在测试准确率大于预设准确率时，获取目标手写字识别模型（S14）。该中文模型训练方法具有训练效率高且识别精度高的优点。

    HIERARCHICAL IMAGE INTERPRETATION SYSTEM
    8.
    发明申请
    HIERARCHICAL IMAGE INTERPRETATION SYSTEM 审中-公开

    公开(公告)号：WO2019106095A1

    公开(公告)日：2019-06-06

    申请号：PCT/EP2018/083023

    申请日：2018-11-29

    Applicant: YELLOW LINE PARKING LTD.

    Inventor： HUBERT, Daniel ,  BOUTCHER-WEST, Ben ,  BROSTOW, Gabriel J.

    IPC: G06K9/00 ,  G06K9/68

    Abstract: There is provided a system and method for parsing parking signs, comprising receiving image data representing an image, processing the image data to determine a first information region in the image and associating the first information region with a parent node of a hierarchy, processing the image data to determine one or more information sub-regions wholly contained within the first information region, and associating each determined sub-region with a sub-node of the hierarchy, wherein each sub-node is a child to the parent node, and outputting data indicative of the hierarchy.

    SYSTEM AND METHOD FOR ACCURATELY DETECTING AN OBJECT IN AN IMAGE FRAME
    10.
    发明申请
    SYSTEM AND METHOD FOR ACCURATELY DETECTING AN OBJECT IN AN IMAGE FRAME 审中-公开

    公开(公告)号：WO2018215907A1

    公开(公告)日：2018-11-29

    申请号：PCT/IB2018/053555

    申请日：2018-05-21

    Applicant: NAHATA, Apul ,  GARG, Ashwani ,  KURUVILLA, John

    Inventor： NAHATA, Apul ,  GARG, Ashwani ,  KURUVILLA, John

    IPC: G06T7/00 ,  G06K9/68

    CPC classification number: G06K9/00744 ,  G06T7/20 ,  G06T2207/10016 ,  G06T2207/20016

    Abstract: The present disclosure relates to a method for enabling accurate object detection in a video having multiple image frames, wherein the method comprises, for at least one of the multiple image frames; sampling down the at least one image frame to generate multiple temporary image frames of lower resolution; performing pixel level object detection on temporary image frame having lowest resolution to generate a corresponding temporary binary image that comprises a first binary value indicating the object being detected and a second binary value indicating the object not being detected; and iteratively interpolating the temporary binary image to next higher resolution, and refining the interpolated temporary binary image based on a corresponding temporary image frame having same higher resolution till the next higher resolution is equal to that of the at least one image frame, wherein the interpolated temporary binary image is representative of accurately detected object.

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