公开(公告)号：US20210082567A1

公开(公告)日：2021-03-18

申请号：US16963700

申请日：2018-12-07

Applicant: VUNO, INC.

Inventor： Seungho LEE

IPC: G16H30/40 ,  G06F3/0485 ,  G06T7/00 ,  G16H50/20

Abstract: The present invention relates to a method for supporting viewing of images and an apparatus using same. In particular, according to the method of the present invention, the computing device enables sequential viewing of a series of individual images, in response to a specific input of an input device, wherein a switching speed from a first individual image, which is an individual image provided in a current viewing, to a second individual image, which is an individual image provided in the next viewing, is variably increased or decreased according to importance given to at least one of the first individual image and the second individual image.

公开(公告)号：US20220198668A1

公开(公告)日：2022-06-23

申请号：US17556529

申请日：2021-12-20

Applicant: VUNO Inc.

Inventor： Hyunho PARK ,  Gwangbeen PARK ,  Seungho LEE

IPC: G06T7/00 ,  G06T7/70 ,  G06T7/11 ,  G06V10/25 ,  G06T7/62 ,  G06T7/30 ,  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.

公开(公告)号：US20240144474A1

公开(公告)日：2024-05-02

申请号：US18279823

申请日：2022-03-02

Applicant: VUNO Inc.

Inventor： Hyunho PARK ,  Gwangbeen PARK ,  Seungho LEE

IPC: G06T7/00 ,  G06V10/25 ,  G06V10/762 ,  G06V10/764 ,  G06V10/771 ,  G16H30/20 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06V10/25 ,  G06V10/762 ,  G06V10/764 ,  G06V10/771 ,  G16H30/20 ,  G16H50/20 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T2207/30096

Abstract: Disclosed is a method for analyzing a lesion based on a medical image performed by a computing device. The method may includes generating, by using a pre-processing module, an input image of a pre-trained detection module from the medical image. The method may include generating, by using the detection module, a probability value regarding a presence of a nodule in at least one region of interest and first location information about the at least one region of interest, based on the input image. The method may include determining, by using a post-processing module, second location information about a suspicious nodule present in the medical image from the first location information, based on the probability value regarding the presence of the nodule.