公开(公告)号：US20210407081A1

公开(公告)日：2021-12-30

申请号：US17360897

申请日：2021-06-28

Applicant: VUNO Inc.

Inventor： Byeonguk BAE ,  Kyuhwan JUNG

IPC: G06T7/00 ,  G06N3/08 ,  G06N3/04

Abstract: According to an embodiment of the present disclosure, a method of assessing bone age by using a neural network performed by a computing device is disclosed. The method includes receiving an analysis image which is a target of bone age assessment; and assessing bone age of the target by inputting the analysis image into a bone age analysis model comprising one or more neural networks. The bone age analysis model, which is trained by supervised learning based on an attention guide label, includes at least one attention module for intensively analyzing a main region of the analysis image.

公开(公告)号：US10769779B2

公开(公告)日：2020-09-08

申请号：US15760803

申请日：2015-09-24

Applicant: Vuno, Inc.

Inventor： Sangki Kim ,  Hyun-Jun Kim ,  Kyuhwan Jung ,  Yeha Lee

IPC: G06F3/01 ,  G06T7/00 ,  G16H30/20 ,  A61B3/113 ,  A61B5/055 ,  A61B6/03 ,  G06F3/048

Abstract: According to one embodiment, a method for increasing the reading efficiency of a medical image is provided. The method of increasing the reading efficiency of a medical image comprises of: receiving the gaze information of a user, acquiring a gaze tracking device, during a medical image reading process; determining a region of interest of the user with respect to the medical image by using the gaze information; determining a type of service corresponding to the region of interest; and providing the determined service.

公开(公告)号：US20200273173A1

公开(公告)日：2020-08-27

申请号：US16618488

申请日：2018-01-04

Applicant: Vuno, Inc.

Inventor： Hyun-Jun Kim ,  Yeha Lee

IPC: G06T7/00 ,  G06N3/08 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50

Abstract: Provided are a method for determining whether an examinee is infected by microorganism, and a determination apparatus using the same. Specifically, the determination apparatus according to the present invention obtains an microphotographed image of a biological sample of the examinee; receives the obtained microphotographed image and generates analysis information on the microorganism based on a deep learning model of the examinee; visualize the generated analysis information to provide it, so as to perform at least one of (i) a process of supporting a remote reading on whether the microorganism corresponding to the analysis information exists or not, and (ii) a process of supporting a user of the computing apparatus to read whether the microorganism corresponding to the analysis information exists or not; and provides a final result as its result.

公开(公告)号：US20190066847A1

公开(公告)日：2019-02-28

申请号：US15949537

申请日：2018-04-10

Applicant: Vuno, Inc.

Inventor： Kyu Hwan Jung

IPC: G16H50/70 ,  G06T7/11 ,  G06T7/00 ,  G06T15/08 ,  G16H30/40 ,  G06N3/08 ,  G06N3/04

Abstract: A content-based medical image retrieval method and a retrieval system using the same include: obtaining m (2≤m≤n) number of unit images from a three-dimensional (3D) medical image including n (n≥2) number of unit images and extracting features per unit image from each of the m (2≤m≤n) number of unit images through a feature extraction unit, wherein the 3D medical image is voxel data including a plurality of slices and each of the plurality of slices is defined as a unit image; inputting features of each unit image extracted from the m (2≤m≤n) number of unit images to a recurrent neural network to generate an output value; and performing medical image retrieval using the output value through an input processing unit, wherein a plurality of 3D medical images to be compared with the output value include a 3D medical image having p (p≥2, p≠n) number of unit images.

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.

公开(公告)号：US20240366100A1

公开(公告)日：2024-11-07

申请号：US18291164

申请日：2022-08-10

Applicant: VUNO Inc.

Inventor： Youngjae SONG ,  Sungjae LEE

IPC: A61B5/024 ,  A61B5/00

Abstract: Disclosed is a method for extracting a heart rate variability (HRV) feature value performed by a computing device including one or more processors. The method includes acquiring first biosignal data measured during a first time period. The method includes outputting one or more heart rate variability feature values corresponding to a time period longer than the first time period by inputting the first biosignal data into a pre-trained neural network model.

公开(公告)号：US12125199B2

公开(公告)日：2024-10-22

申请号：US17539827

申请日：2021-12-01

Applicant: VUNO Inc.

Inventor： Hyunwoo Oh ,  Sejin Park ,  Jinkyeong Sung ,  Weon Jin Kim ,  Eunpyeong Hong ,  Dong Soo Lee

IPC: G06T7/00 ,  A61B5/00 ,  G06N3/045 ,  G06T7/11 ,  G06T7/30 ,  G16H30/40 ,  G16H50/20 ,  A61B5/055

CPC classification number: G06T7/0012 ,  A61B5/0042 ,  A61B5/7264 ,  A61B5/7275 ,  G06N3/045 ,  G06T7/11 ,  G06T7/30 ,  G16H30/40 ,  G16H50/20 ,  A61B5/055 ,  A61B5/4088 ,  G06T2207/20084 ,  G06T2207/30016

Abstract: Disclosed is a method for predicting disease based on a medical image performed by a computing device. The method includes: generating a feature vector related to predictive values of brain disease for each of 2D medical images included in a 3D medical image, using a pre-trained first model; estimating importance indicating prediction accuracy for each of the 2D medical images based on the feature vector, using a pre-trained second model; and selecting at least one model input image suitable for prediction of the brain disease from among the 2D medical images based on the importance.

公开(公告)号：USD1045088S1

公开(公告)日：2024-10-01

申请号：US35512173

申请日：2021-04-23

Applicant: VUNO Inc.

Designer： Eun Bi Koh ,  Woong Bae ,  Suk In Eo ,  Oyeon Kwon

Abstract: 1. Electrocardiograph
1.1 : Perspective
1.2 : Front
1.3 : Back
1.4 : Top
1.5 : Bottom
1.6 : Left
1.7 : Right
1.8 : Perspective
The thin lines in the representations do not illustrate ornamentation or decoration on the surface of the product.

公开(公告)号：US12026873B2

公开(公告)日：2024-07-02

申请号：US17354861

申请日：2021-06-22

Applicant: VUNO Inc.

Inventor： Byeonguk Bae ,  Kyuhwan Jung

IPC: G06T7/00 ,  G06N3/047 ,  G16H50/20 ,  G16H50/30

CPC classification number: G06T7/0012 ,  G06N3/047 ,  G16H50/20 ,  G16H50/30 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20182 ,  G06T2207/30008

Abstract: According to an embodiment of the present disclosure, a computer program stored in a computer readable storage medium is disclosed. The computer program includes instructions for causing one or more processors to estimate bone age from a bone image, and the instructions include: estimating a RUS score for each of one or more partial bone images using a partial bone RUS score estimation model comprising one or more layers, and wherein the one or more partial bone images are generated from a whole bone image; and estimating bone age corresponding to the whole bone image using one or more RUS scores estimated for each of the one or more partial bone images, in which the partial bone RUS score estimation model is trained by using a labeled partial bone image as training data, and is trained by adjusting feature values calculated from the one or more layers.

公开(公告)号：US11735317B2

公开(公告)日：2023-08-22

申请号：US16638250

申请日：2018-08-07

Applicant: VUNO, INC. ,  HYEWON MEDICAL FOUNDATION

Inventor： Yeongnam Lee ,  Yeha Lee ,  Joonmyoung Kwon

IPC: G16H40/63 ,  G16H50/30 ,  G06N20/20 ,  G06N20/10 ,  G06N3/084 ,  G06F18/21 ,  G06F18/241

CPC classification number: G16H40/63 ,  G06F18/217 ,  G06F18/241 ,  G06N3/084 ,  G06N20/10 ,  G06N20/20 ,  G16H50/30

Abstract: The present invention relates to a method for generating a prediction result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.