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公开(公告)号:US12236593B2
公开(公告)日:2025-02-25
申请号:US17975867
申请日:2022-10-28
Applicant: GE Precision Healthcare LLC
Inventor: Gireesha Chinthamani Rao , Ravi Soni , Gopal B. Avinash , Poonam Dalal , Beth A. Heckel
Abstract: An artificial intelligence (AI) X-ray image information detection and correction system is employed either as a component of the X-ray imaging system or separately from the X-ray imaging system to automatically scan post-exposure X-ray images to detect various types of information or characteristics of the X-ray image, including, but not limited to, anatomy, view, orientation and laterality of the X-ray image, along with an anatomical landmark segmentation. The information detected about the X-ray image can then be stored by the AI system in association with the X-ray image for use in various downstream X-ray system workflow automations and/or reviews of the X-ray image.
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公开(公告)号:US12222953B2
公开(公告)日:2025-02-11
申请号:US18331666
申请日:2023-06-08
Applicant: Palantir Technologies Inc.
Inventor: Peter Hong
IPC: G06F16/25 , G06F3/0482 , G06F3/04842 , G06F16/29 , G06F16/44 , G06F16/955 , G06F16/957 , G06T3/00 , G06T3/14 , G06T3/40 , G06T3/60
Abstract: Example embodiments described herein pertain to a geographic information system (GIS), configured to obtain geospatial data representing a geographic area, assign a projection and coordinate system to the geospatial data, apply a transformation to the geospatial data, and generate a tile cache based on the transformed geospatial data, the tile cache including the determined projection and coordinate system.
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公开(公告)号:US12220220B2
公开(公告)日:2025-02-11
申请号:US17772294
申请日:2020-09-18
Applicant: CENTRE HOSPITALIER RÉGIONAL ET UNIVERSITAIRE DE BREST , UNIVERSITÉ DE BRETAGNE OCCIDENTALE
Inventor: Dimitris Visvikis , Erwan L'Her , Souha Nazir
IPC: A61B5/08 , A61B5/00 , A61B5/091 , A61B5/11 , A61B5/113 , G01S17/894 , G06T3/60 , G06T7/33 , G06T7/80
Abstract: A method for measuring respiratory parameters of a subject using a range imaging sensor, wherein the method includes: receiving from the range imaging sensor at least one raw image of at least one portion of the torso of the subject, wherein each point of the raw image represents the distance between the range imaging sensor and the subject; generating a surface image of at least one portion of a surface of the torso of the subject by surface interpolation of the raw image; estimating a respiratory signal as a function of time calculated as the spatial average, in a given region of interest (ROI) defined on the torso of the subject, of the differences between the depth values of the surface image at a given time and the depth values of a reference surface image; and estimating a lung volume.
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公开(公告)号:US20250044932A1
公开(公告)日:2025-02-06
申请号:US18893427
申请日:2024-09-23
Applicant: Apple Inc.
Inventor: Kevin Will CHEN , Guillaume Pierre André BARLIER , Alan C. DYE , Lisa K. FORSSELL , JD GARDNER , Aurelio GUZMAN , Kevin LYNCH , Jason RICKWALD , Christopher James ROMNEY , Nicolas SCAPEL , Christopher WILSON
IPC: G06F3/0488 , G04G9/00 , G04G21/08 , G06F3/0362 , G06F3/04817 , G06F3/04842 , G06F3/04845 , G06F3/04847 , G06F3/0485 , G06F3/0487 , G06F3/04883 , G06T3/60 , G06T11/40 , G06T11/60
Abstract: The present disclosure generally describes user interfaces related to time. In accordance with embodiments, user interfaces for displaying and enabling an adjustment of a displayed time zone are described. In accordance with embodiments, user interfaces for initiating a measurement of time are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface using a character are described. In accordance with embodiments, user interfaces for enabling and displaying a user interface that includes an indication of a current time are described. In accordance with embodiments, user interfaces for enabling configuration of a background for a user interface are described. In accordance with embodiments, user interfaces for enabling configuration of displayed applications on a user interface are described.
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公开(公告)号:US20250037282A1
公开(公告)日:2025-01-30
申请号:US18889983
申请日:2024-09-19
Applicant: UnitedHealth Group Incorporated
Inventor: Russell H. Amundson , Saurabh Bhargava , Rama Krishna Singh , Ravi Pande , Vishwakant Gupta , Gaurav Mantri , Abhinav Agrawal , Sapeksh Suman
IPC: G06T7/00 , G06F18/2137 , G06F18/24 , G06T3/60 , G06T7/11 , G06T7/33 , G06T7/70 , G06T7/90 , G06V10/764 , G06V10/77 , G16H30/40 , G16H40/67
Abstract: Systems and methods are configured for preprocessing of images for further content based analysis thereof. Such images are extracted from a source data file, by standardizing individual pages within a source data file as image data files, and identifying whether the image satisfies applicable size-based criteria, applicable color-based criteria, and applicable content-based criteria, among others, utilizing one or more machine-learning based models. Various systems and methods may identify particular features within the extracted images to facilitate further image-based analysis based on the identified features.
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公开(公告)号:US20250037255A1
公开(公告)日:2025-01-30
申请号:US18282589
申请日:2022-10-28
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Abstract: The present disclosure provides a defective-spot detection model training method, a defective-spot detection method and a defective-spot restoration method. The defective-spot detection model training method includes: obtaining a first training data set and a second training data set; generating a transparent layer based on a resolution of the sample detection image; replacing an image in a certain region of the transparent layer based on at least one of the plurality of frames of sample defective-spot images to generate a frame of transparent mask; generating a sample training image with a defective-spot based on the frame of transparent mask and the sample detection image; and processing the sample detection image by using the at least one of the plurality of frames of sample defective-spot images to generate a frame of sample training image.
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公开(公告)号:US20250022184A1
公开(公告)日:2025-01-16
申请号:US18221032
申请日:2023-07-12
Applicant: Verizon Patent and Licensing Inc.
Inventor: Stephen Cole , Sergey Virodov
Abstract: An illustrative model construction system may access object image data representative of one or more images depicting an object having a plurality of labeled keypoint features. Based on the object image dataset, the model construction system may generate a training target dataset including a plurality of training target images. Each training target image may be generated by selecting a background image distinct from the object image data, manipulating a depiction of the object represented within the object image data, and overlaying the manipulated depiction of the object onto the selected background image with the labeled keypoint features. Based on this training target dataset, the model construction system may train a machine learning model to recognize and estimate a pose of the object when the object is depicted in input images analyzed using the trained machine learning model. Corresponding methods and systems are also disclosed.
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公开(公告)号:US12198292B2
公开(公告)日:2025-01-14
申请号:US17133346
申请日:2020-12-23
Applicant: Intel Corporation
Inventor: David I. Gonzalez-Aguirre
IPC: G06T7/13 , G06F18/25 , G06T3/40 , G06T3/4007 , G06T3/60 , G06T5/92 , G06T7/194 , G06T7/35 , G06V10/141 , G06V10/44 , G06V10/75 , G06V10/77 , G06V20/00
Abstract: A system, apparatus, method and a computer readable storage medium for extracting an asset. The method captures a scene having a two-dimensional (2D) boundary in a field of view. The scene is analyzed to detect visual content on the 2D boundary. The visual content is extracted without capturing a visual field beyond the 2D boundary. The visual content is sent over a network interface for remote sharing.
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公开(公告)号:US20250013311A1
公开(公告)日:2025-01-09
申请号:US18883358
申请日:2024-09-12
Applicant: Panasonic Automotive Systems Co., Ltd.
Inventor: Takayoshi MORIYASU
Abstract: In a control apparatus, a reference point setting unit receives spatial coordinates of each of a first part, a second part, and a third part of a body of a user located in front of a display, identifies a midpoint between the spatial coordinates of the first part and the spatial coordinates of the second part, and sets a point on the display intersecting a virtual straight line passing through the midpoint identified and the spatial coordinates of the third part as a reference point. A function execution unit performs a process, determined by a movement of the first part and the second part, on an image displayed on the display, with reference to the reference point set.
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公开(公告)号:US20250005830A1
公开(公告)日:2025-01-02
申请号:US18756715
申请日:2024-06-27
Applicant: GROUND TRUTH AGRICULTURE INC.
Inventor: Syed Aamir Ali Shah
Abstract: Images for training a grain detection model are generated by: providing a starting image, repeatedly selecting a polygon from annotated sample images of known polygons and modifying the starting image by placing the selected polygons in the starting image so that the resulting image comprises a random assortment of known polygons from different sources. Uniformly annotated grain sample images can thus be introduced to a in modified images without introducing bias to the model. In a further aspect, selected objects in a grain sample can be sized based on sizing apertures of a sizing device by defining a sizing polygon representing the sizing apertures and then iteratively positioning the selected object polygon relative to the sizing polygon so that the overlap amount can be compared to a threshold to distinguish grains from impurities without actually passing the grains through the sizing device.
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