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公开(公告)号：US20230125925A1
公开(公告)日：2023-04-27
申请号：US17972057
申请日：2022-10-24
Inventor： Do Young KIM , Myung Hoon SUNWOO , Young Jun LIM , Joon-Hyeon PARK
IPC: G06V40/18 , G06V10/764 , G06T7/00 , G06V10/77 , G16H50/30
Abstract: Disclosed are a method for providing the necessary information for a diagnosis of Alzheimer's disease and an apparatus for executing the method. The apparatus for executing the method for providing the necessary information for a diagnosis of Alzheimer's disease includes one or more processors, a memory, and one or more programs, in which the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs includes an instruction for acquiring a photographed image of a patient's eyeball, an instruction for preprocessing the photographed image, generating a blood vessel image from the pre-processed photographed image using machine learning-based technology, and providing the necessary information for a diagnosis of Alzheimer's disease based on the generated blood vessel image, and an instruction for generating diagnostic prediction information based on the necessary information for a diagnosis of Alzheimer's disease.
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公开(公告)号：US20220036544A1
公开(公告)日：2022-02-03
申请号：US17277443
申请日：2019-08-22
Inventor： Myung Hoon SUNWOO , Ji Hoon BAE
Abstract: The present invention relates to a breast image analysis method with four mammogram images which are input to a convolutional neural network as one input and a system therefor and the system includes an image receiving unit which receives four mammogram images; an image size adjusting unit which adjusts a size of a mammogram image received from the image receiving unit; a preprocessing unit which performs preprocessing on the mammogram image adjusted by the image size adjusting unit; a convolutional neural network (CNN)-based CNN learning unit which generates learning information by learning the mammogram image preprocessed by the preprocessing unit; and a CNN inference unit which receives the learning information learned from the CNN learning unit and a mammogram image to be classified from the image receiving unit to diagnose a breast abnormality.
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公开(公告)号：US20180152711A1
公开(公告)日：2018-05-31
申请号：US15819027
申请日：2017-11-21
Inventor： Myung Hoon SUNWOO , Jong Hyun BAE
IPC: H04N19/147 , H04N19/172 , H04N19/119
CPC classification number: H04N19/147 , H04N19/119 , H04N19/157 , H04N19/172 , H04N19/176 , H04N19/196 , H04N19/96
Abstract: Provided is a history based CU depth determining method. A history based CU depth determining method according to an exemplary embodiment of the present disclosure is a method for determining depths of a plurality of coding units (CU) included in each of a plurality of coding tree units (CTU) which configures a frame of a video, including: dividing a plurality of previous CTUs of a plurality of previous frames which are the same position as a current CTU of a current frame into a plurality of areas to generate depth history information including information of a CU depth for each of the plurality of areas; determining a plurality of depth candidates for a CU depth for each of the plurality of areas of the current CTU, based on the depth history information; and selecting an optimal CU depth among the plurality of depth candidates for each of the plurality of areas of the current CTU, through a rate-distortion cost (RD-cost) calculation.
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公开(公告)号：US20150303944A1
公开(公告)日：2015-10-22
申请号：US14537571
申请日：2014-11-10
Inventor： Myung Hoon SUNWOO , Byung Jun CHOI
IPC: H03M13/11
CPC classification number: H03M13/1131 , H03M13/1117 , H03M13/6502
Abstract: Provided is a method of decoding a low-density parity-check code (LDPC). The decoding method including an initialization process, a check node update process, a variable node update process, a tentative decoding process, and a parity check process, for a plurality of check nodes and a plurality of variable nodes, further includes detecting at least one inactive variable nodes that do not require variable node update among the variable nodes, the variable node update process is performed only on active variable nodes except for the inactive variable node, and the check node update process is performed without using the inactive variable node.
Abstract translation: 提供了一种对低密度奇偶校验码（LDPC）进行解码的方法。 对于多个校验节点和多个可变节点，包括初始化处理，校验节点更新处理，变量节点更新处理，暂定解码处理和奇偶校验处理的解码方法还包括检测至少一个 在变量节点之间不需要变量节点更新的非活动变量节点，仅在非活动变量节点之外的活动变量节点上执行变量节点更新过程，并且不使用非活动变量节点执行校验节点更新过程。
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公开(公告)号：US20230084339A1
公开(公告)日：2023-03-16
申请号：US17884935
申请日：2022-08-10
Inventor： Myung Hoon SUNWOO , U Seok LEE
Abstract: Disclosed are a method and apparatus for generating a decoding position control signal for decoding using polar codes. The method and apparatus for generating a decoding position control signal for decoding using polar codes according to an embodiment of the present disclosure include generating a decoding tree obtained by forming a plurality of nodes in a hierarchical structure for a polar-encoded codeword, decoding the codeword using a successive cancellation (SC) decoding technique, and generating control signal through a preset operation relationship based on a position of a bit returned during re-decoding among the decoded codeword.
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Patent Agency Ranking
公开(公告)号：US20220255565A1
公开(公告)日：2022-08-11
申请号：US17530999
申请日：2021-11-19
Inventor： Myung Hoon SUNWOO , U Seok LEE
Abstract: A polar code decoding apparatus according to an embodiment includes a divider configured to generate a decoding tree in which a plurality of nodes including one or more critical sets for a polar-encoded codeword are formed in a hierarchical structure, and divide the decoding tree into one or more partitions, each partition equally including lowest nodes of the decoding tree, a determiner configured to determine a memory size for storing a primary decoding result based on a specific partition, the specific partition being selected from among the one or more partitions based on the number of critical sets included in each partition, and a decoder configured to decode the codeword primarily by using a successive cancellation (SC) decoding technique.
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7.发明申请公开(公告)号：US20210113147A1
公开(公告)日：2021-04-22
申请号：US17071477
申请日：2020-10-15
Inventor： Myung Hoon SUNWOO , Gi Jo AN
IPC: A61B5/00 , A61B5/1171 , G06F21/32
Abstract: As a method for diagnosing jaundice of a user based on an image by a jaundice diagnosis device, a jaundice diagnosis image is obtained including a jaundice diagnosis reference device divided into a first area and a second area, and a specific body part of a user located in the first area. The identification information of the jaundice diagnosis reference device inserted in the second area is extracted, and validity authentication of the identification information is requested through an interlocked authentication system. When the validity authentication success message is received from the authentication system, the user is diagnosed with jaundice based on the image of a specific body part located in the first area and the jaundice diagnosis comparison image included in the second area.
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公开(公告)号：US20190133472A1
公开(公告)日：2019-05-09
申请号：US16183321
申请日：2018-11-07
Inventor： Jin Hong KIM , Myung Hoon SUNWOO
Abstract: According to another exemplary embodiment of the present disclosure, a method for monitoring a pressure in a biliary tract includes: receiving a measured value of a pressure in a biliary tract from a stent for a biliary tract having a pressure sensor mounted therein, by a subcutaneous implant medical device; collecting the measured value of the pressure at a predetermined cycle and transmitting collected information to an external device, by the subcutaneous implant medical device; and analyzing the collected information to expect a timing of biliary obstruction, and providing expected information to the patient, by the external device.
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公开(公告)号：US20190114532A1
公开(公告)日：2019-04-18
申请号：US16059695
申请日：2018-08-09
Inventor： Myung Hoon SUNWOO , Young Ho KIM
Abstract: Disclosed are an apparatus and a method for a convolution operation of a convolution neural network. An apparatus for a convolution operation of a convolution neural network according to an exemplary embodiment of the present disclosure includes: an operation control unit that determines whether or not to perform the convolution operation based on the number of ‘0’ in a partial region of an input feature map; and an operation unit that performs the convolution operation of the partial region according to the determination of the operation control unit.
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公开(公告)号：US20190110716A1
公开(公告)日：2019-04-18
申请号：US16115821
申请日：2018-08-29
Inventor： Myung Hoon SUNWOO , Jung Won LEE , Jin Hong KIM
Abstract: Disclosed are a method and an apparatus for jaundice diagnosis based on an image. The method for jaundice diagnosis based on an image includes: receiving a jaundice diagnostic image acquired by photographing both a specific body part of a user and a reference object at a place where the user is positioned at present; generating color distortion information indicating a color distortion degree of the reference object included in the jaundice diagnostic image; generating a jaundice diagnostic correction image by correcting color distortion of the jaundice diagnostic image based on the color distortion information; and diagnosing a jaundice symptom for the user by using the jaundice diagnostic correction image.
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