公开(公告)号：US20220122249A1

公开(公告)日：2022-04-21

申请号：US17501491

申请日：2021-10-14

Applicant: VUNO Inc.

Inventor： Hyunho PARK ,  Gwangbeen PARK ,  Seungho Lee

IPC: G06T7/00 ,  G06K9/00 ,  G06F3/0482 ,  G06T7/11 ,  G06T7/62 ,  G16H30/40 ,  G16H50/20 ,  G16H15/00

Abstract: An embodiment of the present disclosure provides a method of providing a User Interface for serial images analysis in a user equipment, the method including: displaying a first cross-sectional image, a second cross-sectional image, and a third cross-sectional image on a first area of the user interface, which are related to a first image; displaying candidate nodule information related to the first image on at least one of the first cross-sectional image, the second cross-sectional image, and the third cross-sectional image; determining the candidate nodule information related to a user input as first nodule information related to the first image, based on the user input on the user interface; and displaying the first nodule information in such a way that the candidate nodule information related to the user input is replaced with the first nodule information, in which the candidate nodule information may be generated based on a first nodule dataset obtained by inputting the first image to a deep learning algorithm in a server.

公开(公告)号：US12283041B2

公开(公告)日：2025-04-22

申请号：US17501491

申请日：2021-10-14

Applicant: VUNO Inc.

Inventor： Hyunho Park ,  Gwangbeen Park ,  Seungho Lee

IPC: G06T7/00 ,  G06F3/0482 ,  G06T7/11 ,  G06T7/62 ,  G06V20/40 ,  G16H15/00 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70

Abstract: An embodiment of the present disclosure provides a method of providing a User Interface for serial images analysis in a user equipment, the method including: displaying a first cross-sectional image, a second cross-sectional image, and a third cross-sectional image on a first area of the user interface, which are related to a first image; displaying candidate nodule information related to the first image on at least one of the first cross-sectional image, the second cross-sectional image, and the third cross-sectional image; determining the candidate nodule information related to a user input as first nodule information related to the first image, based on the user input on the user interface; and displaying the first nodule information in such a way that the candidate nodule information related to the user input is replaced with the first nodule information, in which the candidate nodule information may be generated based on a first nodule dataset obtained by inputting the first image to a deep learning algorithm in a server.

公开(公告)号：US12283051B2

公开(公告)日：2025-04-22

申请号：US17556529

申请日：2021-12-20

Applicant: VUNO Inc.

Inventor： Hyunho Park ,  Gwangbeen Park ,  Seungho Lee

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/30 ,  G06T7/62 ,  G06T7/70 ,  G06V10/25 ,  G06V10/764 ,  G16H30/40 ,  G16H50/20

Abstract: Disclosed is a method for analyzing a lesion based on a medical image, which is performed by a computing device. The method may include: obtaining positional information of a suspicious nodule which exists in the medical image; generating a mask for the suspicious nodule based on a patch of the medical image corresponding to the positional information; and determining a class for a state of the suspicious nodule based on the patch of the medical image and the mask for the suspicious nodule.