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11.发明申请公开(公告)号：US20230082494A1
公开(公告)日：2023-03-16
申请号：US17847720
申请日：2022-06-23
Applicant: Hologic, Inc.
Inventor： Haili CHUI , Liyang WEI , Jun GE , Nikolaos GKANATSIOS
Abstract: A method for processing breast tissue image data includes obtaining image data of a patient's breast tissue, processing the image data to generate a set of image slices, the image slices collectively depicting the patient's breast tissue; feeding image slices of the set through each of a plurality of object-recognizing modules, each of the object-recognizing modules being configured to recognize a respective type of object that may be present in the image slices; combining objects recognized by the respective object-recognizing modules to generate a synthesized image of the patient's breast tissue; and displaying the synthesized image.
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Patent Agency Ranking
公开(公告)号：US20230033601A1
公开(公告)日：2023-02-02
申请号：US17847796
申请日：2022-06-23
Applicant: HOLOGIC, INC.
Inventor： Haili CHUI , Zhenxue JING
Abstract: A method and system for creating a dynamic self-learning medical image network system, wherein the method includes receiving, from a first node initial user interaction data pertaining to one or more user interactions with the one or more initially obtained medical images; training a deep learning algorithm based at least in part on the initial user interaction data received from the node; and transmitting an instance of the trained deep learning algorithm to the first node and/or to one or more additional nodes, wherein at each respective node to which the instance of the trained deep learning algorithm is transmitted, the trained deep learning algorithm is applied to respective one or more subsequently obtained medical images in order to obtain a result.
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公开(公告)号：US20240164720A1
公开(公告)日：2024-05-23
申请号：US18538581
申请日：2023-12-13
Applicant: Hologic, Inc.
Inventor： Biao CHEN , Haili CHUI
CPC classification number: A61B5/708 , A61B5/004 , A61B5/0073 , A61B5/0077 , A61B5/1072 , A61B5/4312 , A61B5/442 , A61B17/3403 , G06N20/00 , G06T5/50 , G06T2207/20221
Abstract: Examples of the present disclosure describe systems and methods for personalized breast imaging. In aspects, a first set of patient attributes may be collected. The first set of patient attributes may relate to, or be used to determine, for example, breast size, breast thickness, and/or three-dimensional (3D) breast shape. The first set of patient attributes may be used to customize image acquisition parameters for the patient. A second set of patient attributes may also be collected. The second set of patient attributes may relate to, or be used to determine, for example, breast elasticity and breast density. The second set of patient attributes may be used to customize breast compression parameters for the patient. The customized image acquisition parameters and breast compression parameters may then be used to perform one or more procedures (e.g., an imaging procedure, a biopsy procedure, etc.) on the patient's breast.
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14.发明申请公开(公告)号：US20220192615A1
公开(公告)日：2022-06-23
申请号：US17692989
申请日：2022-03-11
Applicant: Hologic, Inc.
Inventor： Haili CHUI , Liyang WEI , Jun GE , Xiangwei ZHANG , Nikolaos GKANATSIOS
Abstract: A method for processing breast tissue image data includes processing the image data to generate a set of image slices collectively depicting the patient's breast; for each image slice, applying one or more filters associated with a plurality of multi-level feature modules, each configured to represent and recognize an assigned characteristic or feature of a high-dimensional object; generating at each multi-level feature module a feature map depicting regions of the image slice having the assigned feature; combining the feature maps generated from the plurality of multi-level feature modules into a combined image object map indicating a probability that the high-dimensional object is present at a particular location of the image slice; and creating a 2D synthesized image identifying one or more high-dimensional objects based at least in part on object maps generated for a plurality of image slices.
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公开(公告)号：US20210118199A1
公开(公告)日：2021-04-22
申请号：US16497766
申请日：2018-03-28
Applicant: HOLOGIC, INC.
Inventor： Haili CHUI , Xiaomin LIU , Xiangwei ZHANG
Abstract: A method for processing breast tissue image data includes processing image data of a patient's breast tissue to generate a high-dimensional grid depicting one or more high-dimensional objects in the patient's breast tissue; determining a probability or confidence of each of the one or more high-dimensional objects depicted in the high-dimensional grid; and modifying one or more aspects of at least one of the one or more high-dimensional objects based at least in part on its respective determined probability or confidence to thereby generate a lower-dimensional format version of the one or more high-dimensional objects. The method may further include displaying the lower-dimensional format version of the one or more high-dimensional objects in a synthesized image of the patient's breast tissue.
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16.发明申请公开(公告)号：US20210100518A1
公开(公告)日：2021-04-08
申请号：US16497767
申请日：2018-03-28
Applicant: HOLOGIC, INC.
Inventor： Haili CHUI , Liyang WEI , Jun GE , Nikolaos GKANATSIOS
Abstract: A method for processing breast tissue image data includes obtaining image data of a patient's breast tissue, processing the image data to generate a set of image slices, the image slices collectively depicting the patient's breast tissue; feeding image slices of the set through each of a plurality of object-recognizing modules, each of the object-recognizing modules being configured to recognize a respective type of object that may be present in the image slices; combining objects recognized by the respective object-recognizing modules to generate a synthesized image of the patient's breast tissue; and displaying the synthesized image.
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