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61.
公开(公告)号:US11449210B2
公开(公告)日:2022-09-20
申请号:US16991713
申请日:2020-08-12
Applicant: VUNO, INC.
Inventor: Woong Bae , Seung Ho Lee
IPC: G06F3/048 , G06F3/04845 , G06F3/0489 , G06T3/40 , G06F3/023 , G06F3/0354
Abstract: An image providing method performed by a computing apparatus includes acquiring a first image group including at least a portion of a series of images generated for continuous volumes with a first slice thickness belonging to a subject, providing, as a current viewing image, one image of the first image group or one image of a second image group including images generated for continuous volumes with a second slice thickness belonging to the subject, and in response to a first specific input of an input device, repeatedly updating an image provided as the current viewing image with an individual image provided for a subsequent viewing based on a directivity given for the first specific input and, in response to a second specific input of the input device, switching the current viewing image between an image of the first image group and an image of the second image group.
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公开(公告)号:US20220172370A1
公开(公告)日:2022-06-02
申请号:US17533858
申请日:2021-11-23
Applicant: VUNO Inc. , SEOUL NATIONAL UNIVERSITY HOSPITAL
Inventor: Dong Soo LEE , Hyunwoo OH , Sejin PARK , Jinkyeong SUNG , Eunpyeong HONG , Weon Jin KIM , Ki Woong KIM , Jong Bin BAE , Subin LEE , Jun Sung KIM
IPC: G06T7/11
Abstract: According to an embodiment of the present disclosure, a method of detecting a white matter lesion based on a medical image performed by a computing device is disclosed. The method may include: receiving a medical image including at least one brain region; and estimating a first white matter lesion and a second white matter lesion based on the medical image using a pre-trained neural network model.
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公开(公告)号:US20220076414A1
公开(公告)日:2022-03-10
申请号:US17466697
申请日:2021-09-03
Applicant: VUNO Inc.
Inventor: Beomhee PARK , Minki CHUNG , Seo Taek KONG , Younjoon CHUNG
IPC: G06T7/00
Abstract: According to an embodiment of the present disclosure, disclosed is a method to read a chest image. The method includes: determining whether or not to identify presence of cardiomegaly for a chest image; detecting a lung region and a heart region respectively which are included in the chest image, by using a neural network model, when it is determined to identify presence of cardiomegaly of the chest image; and calculating a cardiothoracic ratio of the chest image using the detected lung region and the detected heart region.
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公开(公告)号:US20210398280A1
公开(公告)日:2021-12-23
申请号:US17354861
申请日:2021-06-22
Applicant: VUNO Inc.
Inventor: Byeonguk BAE , Kyuhwan JUNG
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.
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公开(公告)号:US20210369172A1
公开(公告)日:2021-12-02
申请号:US17330102
申请日:2021-05-25
Applicant: VUNO Inc.
Inventor: Oyeon KWON , Woong BAE , Yeha LEE
Abstract: Disclosed is a portable electrocardiogram measuring device for calculating one or more electrocardiogram leads according to an embodiment of the present disclosure. The device may include: a main measurement unit comprising a first electrode, a second electrode, and one or more processors; and a sub measurement unit comprising a third electrode, in which the one or more processors measure an electrocardiogram, by receiving electrical signals from at least two electrodes in a measurable state and by calculating different types of electrocardiogram leads based on the number of electrodes in the measurable state and an attachment position of electrodes.
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公开(公告)号:US20210295160A1
公开(公告)日:2021-09-23
申请号:US17207750
申请日:2021-03-22
Applicant: VUNO INC.
Inventor: Sejin PARK , Wonmo JEONG , Weonjin KIM
Abstract: A method for a computing device to predict an action mechanism of a drug from medical images of a subject is disclosed. The method includes, from a plurality of medical images obtained in time series, outputting first compressed data corresponding to the plurality of medical images, each of the first compressed data having a smaller size than a corresponding medical image, estimating second compressed data corresponding to a medical image at a next time point to time points at which the plurality of medical images have been captured, based on the first compressed data, and predicting the action mechanism of the drug for the subject by inputting the second compressed data to a neural network predicting the action mechanism of the drug.
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公开(公告)号:US10748662B2
公开(公告)日:2020-08-18
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 , G06N3/04 , G06N3/08 , G06K9/62 , G16H50/20 , G06K9/00 , G06T7/143 , G16H30/20
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.
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68.
公开(公告)号:US20190340751A1
公开(公告)日:2019-11-07
申请号:US15760803
申请日:2015-09-24
Applicant: Vuno, Inc.
Inventor: Sangki Kim , Hyun-Jun Kim , Kyuhwan Jung , Yeha Lee
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.
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69.
公开(公告)号:US10249042B2
公开(公告)日:2019-04-02
申请号:US15760829
申请日:2015-09-24
Applicant: Vuno, Inc.
Inventor: Kyuhwan Jung , Hyun-Jun Kim , Sangki Kim , Yeha Lee
Abstract: According to an embodiment, a method of providing a medical information service is provided. The method for providing a medical information service comprises the steps of: receiving a target image; extracting feature data of the target image; discovering a relative position of the feature data in a disease classification map in which a pre-trained reference image has been quantified; and providing a user with the disease classification map in which the relative position of the feature data has been discovered.
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公开(公告)号:US10242293B2
公开(公告)日:2019-03-26
申请号:US15750299
申请日:2015-12-30
Applicant: The Asan Foundation , Vuno, Inc.
Inventor: Woo Hyun Shim , Jin Seong Lee , Yu Sub Sung , Hee Mang Yoon , Jung Hwan Baek , Sang Ki Kim , Hyun Jun Kim , Ye Ha Lee , Kyu Hwan Jung
Abstract: Provided are a method and program for computing a bone age using a deep neural network. The method for computing a bone age using a deep neural network, including: receiving an analysis target image that is a specific medical image to compute the bone age; and analyzing the analysis target image by at least one computer using the deep neural network to compute the bone age. According to the present disclosure, since the bone age is computed by accumulating medical images of a specific race (particularly, Korean) and analyzing the same, it is possible to compute an accurate bone age that conforms to race.
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