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公开(公告)号:US20220237777A1
公开(公告)日:2022-07-28
申请号:US17582717
申请日:2022-01-24
Applicant: VUNO Inc.
Inventor: Yeong Won KIM , Kyungdoc KIM , Hong Seok LEE , Hyeongsub KIM
IPC: G06T7/00 , G06V10/82 , G06V10/774 , G06V10/776 , G06V10/40 , G16H30/40 , G16H50/20
Abstract: According to the embodiment of the present disclosure, a method of analyzing a lesion based on a medical image performed by a computing device is disclosed. The method may include: extracting, by using a pre-trained artificial neural network, a first feature for each tile of a plurality of tiles included in an input image; and extracting, by using the pre-trained artificial neural network, a second feature for an entirety of the input image, based on information about whether the lesion is present for the each tile and information on a pattern of the lesion for the each tile generated based on first features of the plurality of tiles.
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公开(公告)号:US20240412358A1
公开(公告)日:2024-12-12
申请号:US18702737
申请日:2022-10-19
Applicant: VUNO Inc.
Inventor: Kyungdoc KIM , Hongseok LEE , Chanmin PARK , Minwoo CHOO , Sangkeun KIM
Abstract: Disclosed is a method for analyzing a medical image performed by a user terminal performed by a computing device. The method may include: determining a region of interest of a medical image based on a first user input on a user interface; transmitting identification information and contour information of the region of interest to a server, and receiving position information and staining information of a stained cell present in the region of interest from the server; distinguishing the cell present in the region of interest as positive or negative based on a threshold which is adjustable according to a second user input on the user interface by using the position information and the staining information of the stained cell present in the region of interest; and outputting analysis information generated based on the cell distinguished as positive or negative through the user interface.
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公开(公告)号:US20220237780A1
公开(公告)日:2022-07-28
申请号:US17586286
申请日:2022-01-27
Applicant: VUNO Inc.
Inventor: Yeong Won KIM , Kyungdoc KIM , Hong Seok LEE , Jeonghyuk PARK
IPC: G06T7/00
Abstract: Disclosed is a method for detecting a serial section of a medical image, which is performed by a computing device. The method may include: detecting segments included in at least one tissue which exists in the medical image; estimating a number of tissue sections corresponding to the serial section and a distance between the segments based on the segments; and distinguishing tissue sections corresponding to the serial section based on the estimated number of tissue sections corresponding to a serial section and the distance between the segments.
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