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.

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.