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    METHOD AND SYSTEM FOR MULTI-MODALITY JOINT ANALYSIS OF VASCULAR IMAGES
    1.
    发明申请
    METHOD AND SYSTEM FOR MULTI-MODALITY JOINT ANALYSIS OF VASCULAR IMAGES 有权

    公开(公告)号：US20230095242A1

    公开(公告)日：2023-03-30

    申请号：US17723863

    申请日：2022-04-19

    Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

    Inventor： Shubao Liu ,  Junjie Bai ,  Youbing Yin ,  Feng Gao ,  Yue Pan ,  Qi Song

    IPC: G06T7/33 ,  G06T17/00 ,  G06T7/00 ,  G06T7/73 ,  G06T11/00 ,  G06T19/20 ,  A61B6/00 ,  A61B8/08

    Abstract: Embodiments of the disclosure provide methods and systems for multi-modality joint analysis of a plurality of vascular images. The exemplary system may include a communication interface configured to receive the plurality of vascular images acquired using a plurality of imaging modalities. The system may further include at least one processor, configured to extract a plurality of vessel models for a vessel of interest from the plurality of vascular images. The plurality of vessel models are associated with the plurality of imaging modalities, respectively. The at least one processor is also configured to fuse the plurality of vessel models associated with the plurality of imaging modalities to generate a fused model for the vessel of interest. The at least one processor is further configured to provide a diagnostic analysis result based on the fused model of the vessel of interest.

    Method and system for joint named entity recognition and relation extraction using convolutional neural network
    2.
    发明授权
    Method and system for joint named entity recognition and relation extraction using convolutional neural network 有权

    公开(公告)号：US11574122B2

    公开(公告)日：2023-02-07

    申请号：US16544837

    申请日：2019-08-19

    Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

    Inventor： Feng Gao ,  Changsheng Liu ,  Yue Pan ,  Youbing Yin ,  Kunlin Cao ,  Qi Song

    IPC: G06F40/295 ,  G06N3/08 ,  G16H10/60

    Abstract: Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.

    SYSTEMS AND METHODS FOR VESSEL PLAQUE ANALYSIS
    7.
    发明申请
    SYSTEMS AND METHODS FOR VESSEL PLAQUE ANALYSIS 有权

    公开(公告)号：US20210374950A1

    公开(公告)日：2021-12-02

    申请号：US17121595

    申请日：2020-12-14

    Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

    Inventor： Feng Gao ,  Zhenghan Fang ,  Yue Pan ,  Junjie Bai ,  Youbing Yin ,  Hao-Yu Yang ,  Kunlin Cao ,  Qi Song

    IPC: G06T7/00 ,  G06K9/62 ,  G06T3/40 ,  G06T7/70 ,  A61B6/03 ,  A61B6/00

    Abstract: The disclosure relates to systems and methods for vessel image analysis. The method includes receiving a set of images along a vessel acquired by a medical imaging device, and determining a sequence of centerline points along the vessel and a sequence of image patches at the respective centerline points based on the set of images. The method further includes detecting plaques based on the sequence of image patches using a first learning network. The first learning network includes an encoder configured to extract feature maps based on the sequence of image patches and a plaque range generator configured to generate a start position and an end position of each plaque based on the extracted feature maps. The method also includes classifying each detected plaque and determining a stenosis degree for the detected plaque, using a second learning network reusing at least part of the parameters of the first learning network and the extracted feature maps.

    SYSTEM AND METHOD FOR PROGNOSIS MANAGEMENT BASED ON MEDICAL INFORMATION OF PATIENT
    8.
    发明申请
    SYSTEM AND METHOD FOR PROGNOSIS MANAGEMENT BASED ON MEDICAL INFORMATION OF PATIENT 有权

    公开(公告)号：US20230099284A1

    公开(公告)日：2023-03-30

    申请号：US17501041

    申请日：2021-10-14

    Applicant: Shenzhen Keya Medical Technology Corporation

    Inventor： Feng Gao ,  Hao-Yu Yang ,  Yue Pan ,  Youbing Yin ,  Qi Song

    IPC: G16H30/20 ,  G16H50/30 ,  G16H50/50 ,  G16H30/40 ,  G16H10/60 ,  G16H50/20 ,  G06N20/00 ,  G06T7/00 ,  A61B5/00 ,  A61B5/021

    Abstract: The disclosure relates to a method, a system, and a computer-readable medium for prognosis management based on medical information of a patient. The method may include receiving the medical information including at least a medical image of the patient reflecting a morphology of an object associated with the patient at a first time, The method may further include predicting a progression condition of the object at a second time based on the medical information of the first time, where the progression condition is indicative of a prognosis risk, and the second time is after the first time. The method may also include generating a prognosis image at the second time reflecting the morphology of the object at the second time based on the medical information of the first time. The method may additionally include providing the progression condition of the object at the second time and the prognosis image at the second time to an information management system for presentation to a user.

    METHOD AND SYSTEM FOR JOINT NAMED ENTITY RECOGNITION AND RELATION EXTRACTION USING CONVOLUTIONAL NEURAL NETWORK
    10.
    发明申请
    METHOD AND SYSTEM FOR JOINT NAMED ENTITY RECOGNITION AND RELATION EXTRACTION USING CONVOLUTIONAL NEURAL NETWORK 审中-公开

    公开(公告)号：US20200065374A1

    公开(公告)日：2020-02-27

    申请号：US16544837

    申请日：2019-08-19

    Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

    Inventor： Feng Gao ,  Changsheng Liu ,  Yue Pan ,  Youbing Yin ,  Kunlin Cao ,  Qi Song

    IPC: G06F17/27 ,  G16H10/60 ,  G06N3/08

    Abstract: Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.

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