公开(公告)号：US12118739B2

公开(公告)日：2024-10-15

申请号：US17520715

申请日：2021-11-07

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Xinghui Fu ,  Han Zheng ,  Junwen Qiu ,  Hong Shang ,  Zhongqian Sun

IPC: G06T7/60 ,  A61B1/31 ,  G06F18/24 ,  G06T7/00 ,  G06T7/73

CPC classification number: G06T7/60 ,  G06F18/24 ,  G06T7/0014 ,  G06T7/73 ,  A61B1/31 ,  G06T2207/10016 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06V2201/03

Abstract: A medical image processing method includes: determining a target mask of a target object in a medical image and a reference mask of a reference object in the medical image, the target mask indicating a position and a boundary of the target object, and the reference mask indicating a position and a boundary of the reference object; determining a feature size of the target object based on the target mask; determining a feature size of the reference object based on the reference mask; and determining a target size of the target object based on the feature size of the reference object, a preset mapping relationship between the feature size of the reference object and a reference size, and the feature size of the target object.

公开(公告)号：US12112269B2

公开(公告)日：2024-10-08

申请号：US17117708

申请日：2020-12-10

Applicant: HOWMEDICA OSTEONICS CORP.

Inventor： W. Matthew Kuester ,  Damien Cariou ,  Yannick Morvan

IPC: G06N3/08 ,  A61B5/00 ,  A61B5/11 ,  A61B17/14 ,  A61B17/16 ,  A61B17/17 ,  A61B34/00 ,  A61B34/10 ,  A61B90/00 ,  A61B90/92 ,  A61F2/40 ,  G02B27/00 ,  G02B27/01 ,  G06F3/01 ,  G06F3/04815 ,  G06F3/0482 ,  G06F30/10 ,  G06F30/20 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/55 ,  G06T11/00 ,  G06T19/00 ,  G06T19/20 ,  G09B5/06 ,  G09B9/00 ,  G09B19/00 ,  G09B23/28 ,  G16H20/40 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H40/60 ,  G16H40/63 ,  G16H40/67 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H70/20 ,  G16H70/60 ,  G16H80/00 ,  H04N13/122 ,  H04N13/332 ,  A61B17/00 ,  A61B17/15 ,  A61B34/20 ,  A61B90/50 ,  A61F2/46 ,  G06F3/0483 ,  G06N3/04 ,  G16H50/20

CPC classification number: G16H20/40 ,  A61B5/1114 ,  A61B5/1121 ,  A61B5/1127 ,  A61B5/681 ,  A61B17/142 ,  A61B17/1604 ,  A61B17/1626 ,  A61B17/1659 ,  A61B17/1684 ,  A61B17/1703 ,  A61B34/10 ,  A61B34/25 ,  A61B90/08 ,  A61B90/36 ,  A61B90/361 ,  A61B90/37 ,  A61B90/39 ,  A61B90/92 ,  A61F2/40 ,  A61F2/4081 ,  G02B27/0075 ,  G02B27/017 ,  G02B27/0172 ,  G06F3/011 ,  G06F3/04815 ,  G06F3/0482 ,  G06F30/10 ,  G06F30/20 ,  G06N3/08 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/55 ,  G06T11/00 ,  G06T19/006 ,  G06T19/20 ,  G09B5/06 ,  G09B9/00 ,  G09B19/003 ,  G09B23/28 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H40/60 ,  G16H40/63 ,  G16H40/67 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H70/20 ,  G16H70/60 ,  G16H80/00 ,  H04N13/122 ,  H04N13/332 ,  A61B5/744 ,  A61B2017/00115 ,  A61B2017/00119 ,  A61B2017/00123 ,  A61B17/151 ,  A61B17/1775 ,  A61B17/1778 ,  A61B2034/102 ,  A61B2034/104 ,  A61B2034/105 ,  A61B2034/107 ,  A61B2034/108 ,  A61B2034/2048 ,  A61B2034/2051 ,  A61B2034/2055 ,  A61B2034/2065 ,  A61B2034/2068 ,  A61B2034/252 ,  A61B2034/254 ,  A61B2090/062 ,  A61B2090/067 ,  A61B2090/0801 ,  A61B2090/0807 ,  A61B2090/365 ,  A61B2090/366 ,  A61B2090/367 ,  A61B2090/368 ,  A61B2090/373 ,  A61B2090/374 ,  A61B2090/3762 ,  A61B2090/378 ,  A61B2090/3937 ,  A61B2090/3945 ,  A61B2090/397 ,  A61B2090/502 ,  A61B2505/05 ,  A61B2562/0219 ,  A61F2002/4011 ,  A61F2/4606 ,  A61F2/4612 ,  A61F2002/4633 ,  A61F2002/4658 ,  A61F2002/4668 ,  G02B2027/0141 ,  G02B2027/0174 ,  G06F3/0483 ,  G06N3/04 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/20036 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30008 ,  G06T2207/30052 ,  G06T2207/30204 ,  G06T2210/41 ,  G06T2219/2004 ,  G06V2201/03 ,  G16H50/20

Abstract: An example system includes a first device configured to display a first presentation to a first user, wherein the first presentation includes one or more virtual elements configured to assist the first user in an orthopedic surgical procedure; and a second device configured to display a second presentation to a second user, wherein the second user provides surgical assistance on the orthopedic surgical procedure. In this example, the second device is further configured to display content that informs the second user on one or more previously-executed steps of the orthopedic surgical procedure.

公开(公告)号：US20240331416A1

公开(公告)日：2024-10-03

申请号：US18550267

申请日：2022-11-11

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yulan Hu ,  Zhenzhong Zhang ,  Xiaotian Jiang

IPC: G06V20/69 ,  A61B5/00 ,  G06T7/00 ,  G06V10/62 ,  G06V10/70 ,  G06V10/77 ,  G06V10/774 ,  G06V10/80 ,  G06V20/50 ,  G16B40/20

CPC classification number: G06V20/698 ,  A61B5/0042 ,  G06T7/0016 ,  G06V10/62 ,  G06V10/7715 ,  G06V10/774 ,  G06V10/806 ,  G06V10/87 ,  G06V20/50 ,  G16B40/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06T2207/30096 ,  G06V2201/03

Abstract: The present disclosure provides a method of processing medical data, which includes: acquiring first medical image data; inputting the first medical image data into a first feature extraction network to obtain a first image feature; and obtaining a first gene mutation information according to the first image feature. The first feature extraction network includes a first feature extraction module configured to: determine a first image query matrix and a first image key matrix according to the first medical image data; determine a first image weight matrix according to the first image query matrix and the first image key matrix, where the first image weight matrix represents a correlation information between each two first medical images in the first medical image data; and determine the first image feature according to the first image weight matrix and the first medical image data.

公开(公告)号：US20240331137A1

公开(公告)日：2024-10-03

申请号：US18129795

申请日：2023-03-31

Applicant: The Chinese University of Hong Kong

Inventor： Pheng Ann Heng ,  Yuhan Zhang

IPC: G06T7/00 ,  G06V10/764 ,  G06V10/77 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/70 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/70 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06V2201/03

Abstract: Machine-learning systems and methods can perform multi-label classification of medical images in a clinical context. A system can incorporate a triplet attention network that combines category-attention, self-attention, and cross-attention to learn high-quality label embeddings by mining effective information from medical images. The set of labels can include a single “hybrid” label assigned to multiple low-frequency diseases. The machine-learning system can be trained using a dual-pool contrastive learning technique. In the inference stage, the trained network can use a dual-pool contrastive inference technique to reduce the likelihood of false negatives and enhance the ability to detect diseases not seen in the training data.

公开(公告)号：US12106589B2

公开(公告)日：2024-10-01

申请号：US18491818

申请日：2023-10-23

Applicant: ZHEJIANG LAB

Inventor： Feng Lin ,  Yunhe Pan

IPC: G06V20/70 ,  G06F40/30 ,  G16H30/40

CPC classification number: G06V20/70 ,  G06F40/30 ,  G16H30/40 ,  G06V2201/03

Abstract: A cross-media knowledge semantic representation method and apparatus. The method comprises: performing data acquisition according to a preset semantic description; inputting data information of a topological structure acquired by the data acquisition into a preset stack of an automat corresponding to the semantic description, the finite state set is used for indicating states included in the automat, and the input vocabulary list is used for indicating vocabularies included in the automat; mapping the data information by the automat to obtain key frames corresponding respectively to substructures and/or branches of a target object acquired by the data acquisition; and generating a visual semantic representation of the topological structure according to the key frames corresponding respectively to the substructures and/or branches of the target object acquired by the data acquisition, such that cross-media knowledge alignment is realized.

公开(公告)号：US12105771B2

公开(公告)日：2024-10-01

申请号：US17455513

申请日：2021-11-18

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jae Sung Heo ,  Chul Ho Kim

IPC: G06F18/214 ,  G06N20/00 ,  G06T7/00 ,  G16H30/20

CPC classification number: G06F18/214 ,  G06N20/00 ,  G06T7/0012 ,  G16H30/20 ,  G06T2207/10068 ,  G06T2207/30036 ,  G06T2207/30096 ,  G06V2201/03

Abstract: Disclosed are an apparatus and method for generating training data. An apparatus for generating training data according to an embodiment includes a reading result acquirer that acquires one or more oral endoscopic images and clinical information related to each of the one or more oral endoscopic images, provides the one or more oral endoscopic images and the clinical information to a user terminal of each of a plurality of preset medical staffs, and receives a reading result for each of the one or more oral endoscopic images from the user terminal of each of the plurality of medical staffs, and a labeling unit that selects one or more labeling target images from among the one or more oral endoscopic images based on the reading result received from the user terminal of each of the plurality of medical staffs and determines one or more labels for each of the one or more labeling target images based on the reading result.

公开(公告)号：US20240315567A1

公开(公告)日：2024-09-26

申请号：US18601415

申请日：2024-03-11

Applicant: Seno Medical Instruments, Inc.

Inventor： Larry Y. L. Mo

IPC: A61B5/00 ,  A61B5/145 ,  G06T7/00 ,  G06T7/62 ,  G06V10/764

CPC classification number: A61B5/0095 ,  A61B5/14542 ,  A61B5/14546 ,  A61B5/4312 ,  A61B5/7278 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/764 ,  G06T2207/10132 ,  G06T2207/30068 ,  G06V2201/03

Abstract: Optoacoustic (OA) imaging systems and methods are described that obtain OA return signal data associated with a response of a sub-region of a region of interest (ROI) to laser light pulses having one or more predominant wavelengths. An acoustic pressure data set is generated based on the OA return signal data. The acoustic pressure data is dependent on a composition of a first chromophore of interest (COI) and one or more second chromophores not of interest (non-COI) in the sub-region. An extent of the one or more second chromophores within the sub-region is identified. A value is assigned to one or more second chromophore factors based on the extent of the one or more chromophores within the sub-region. An amount of the first chromophore in the sub-region is computed based on the acoustic pressure data and the value assigned to the one or more chromophore factors. The amount of the first chromophore is then utilized to compute parametric maps for display.

公开(公告)号：US20240312621A1

公开(公告)日：2024-09-19

申请号：US18184890

申请日：2023-03-16

Applicant: Logistics and Supply Chain MultiTech R&D Centre Limited

Inventor： Kin Keung LEE ,  Ka Yau Lau ,  Chun Fai CHEUNG ,  To Bun NG ,  Ka Lun FAN ,  Chun Wai LEUNG ,  Chun On WONG

IPC: G16H40/67 ,  G06T7/73 ,  G06V20/52

CPC classification number: G16H40/67 ,  G06T7/73 ,  G06V20/52 ,  G06T2200/04 ,  G06T2207/10012 ,  G06T2207/10028 ,  G06T2207/20092 ,  G06T2207/30004 ,  G06T2207/30204 ,  G06V2201/03

Abstract: A system and a method for monitoring activities of an object. The method comprises the steps of: providing a depth image capturing at least a part of the object and an item of supporting furniture, wherein the item of supporting furniture is provided with a support surface arranged to physically support the object to be disposed thereon, and the object is movable relative to the item of supporting furniture; processing the depth image to determine an activity of the object and the item of supporting furniture including the support surface being captured in the depth image; analyse the objects posture and location using AI models that are trained using depth images and/or using the skeleton of the object; analyses the intention of the object's movement; and generating an alert upon a determination of the activity of the object being identified as a risky activity.

公开(公告)号：US20240312599A1

公开(公告)日：2024-09-19

申请号：US18675908

申请日：2024-05-28

Applicant: Howmedica Osteonics Corp.

Inventor： Sergii Poltaretskyi ,  Jean Chaoui ,  Damien Cariou

IPC: G16H20/40 ,  A61B5/00 ,  A61B5/11 ,  A61B17/00 ,  A61B17/14 ,  A61B17/15 ,  A61B17/16 ,  A61B17/17 ,  A61B34/00 ,  A61B34/10 ,  A61B34/20 ,  A61B90/00 ,  A61B90/50 ,  A61B90/92 ,  A61F2/40 ,  A61F2/46 ,  G02B27/00 ,  G02B27/01 ,  G06F3/01 ,  G06F3/04815 ,  G06F3/0482 ,  G06F3/0483 ,  G06F30/10 ,  G06F30/20 ,  G06N3/04 ,  G06N3/08 ,  G06N20/00 ,  G06T7/00 ,  G06T7/11 ,  G06T7/55 ,  G06T11/00 ,  G06T19/00 ,  G06T19/20 ,  G09B5/06 ,  G09B9/00 ,  G09B19/00 ,  G09B23/28 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H40/60 ,  G16H40/63 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H70/20 ,  G16H70/60 ,  G16H80/00 ,  H04N13/122 ,  H04N13/332

CPC classification number: G16H20/40 ,  A61B5/1114 ,  A61B5/1121 ,  A61B5/1127 ,  A61B5/681 ,  A61B17/142 ,  A61B17/1604 ,  A61B17/1626 ,  A61B17/1659 ,  A61B17/1684 ,  A61B17/1703 ,  A61B34/10 ,  A61B34/25 ,  A61B90/08 ,  A61B90/36 ,  A61B90/361 ,  A61B90/37 ,  A61B90/39 ,  A61B90/92 ,  A61F2/40 ,  A61F2/4081 ,  G02B27/0075 ,  G02B27/017 ,  G02B27/0172 ,  G06F3/011 ,  G06F3/04815 ,  G06F3/0482 ,  G06F30/10 ,  G06F30/20 ,  G06N3/08 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/55 ,  G06T11/00 ,  G06T19/006 ,  G06T19/20 ,  G09B5/06 ,  G09B9/00 ,  G09B19/003 ,  G09B23/28 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G16H40/60 ,  G16H40/63 ,  G16H40/67 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H70/20 ,  G16H70/60 ,  G16H80/00 ,  H04N13/122 ,  H04N13/332 ,  A61B5/744 ,  A61B2017/00115 ,  A61B2017/00119 ,  A61B2017/00123 ,  A61B17/151 ,  A61B17/1775 ,  A61B17/1778 ,  A61B2034/102 ,  A61B2034/104 ,  A61B2034/105 ,  A61B2034/107 ,  A61B2034/108 ,  A61B2034/2048 ,  A61B2034/2051 ,  A61B2034/2055 ,  A61B2034/2065 ,  A61B2034/2068 ,  A61B2034/252 ,  A61B2034/254 ,  A61B2090/062 ,  A61B2090/067 ,  A61B2090/0801 ,  A61B2090/0807 ,  A61B2090/365 ,  A61B2090/366 ,  A61B2090/367 ,  A61B2090/368 ,  A61B2090/373 ,  A61B2090/374 ,  A61B2090/3762 ,  A61B2090/378 ,  A61B2090/3937 ,  A61B2090/3945 ,  A61B2090/397 ,  A61B2090/502 ,  A61B2505/05 ,  A61B2562/0219 ,  A61F2002/4011 ,  A61F2/4606 ,  A61F2/4612 ,  A61F2002/4633 ,  A61F2002/4658 ,  A61F2002/4668 ,  G02B2027/0141 ,  G02B2027/0174 ,  G06F3/0483 ,  G06N3/04 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/20036 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30008 ,  G06T2207/30052 ,  G06T2207/30204 ,  G06T2210/41 ,  G06T2219/2004 ,  G06V2201/03 ,  G16H50/20

Abstract: An example method includes displaying, via a visualization device and overlaid on a portion of an anatomy of a patient viewable via the visualization device, a virtual model of the portion of the anatomy obtained from a virtual surgical plan for an orthopedic joint repair surgical procedure to attach a prosthetic to the anatomy; and displaying, via the visualization device and overlaid on the portion of the anatomy, a virtual guide that guides at least one of preparation of the anatomy for attachment of the prosthetic or attachment of the prosthetic to the anatomy.

公开(公告)号：US20240312013A1

公开(公告)日：2024-09-19

申请号：US18676487

申请日：2024-05-28

Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

Inventor： Liang XU ,  Jian ZHONG ,  Juan FENG ,  Yan'ge MA ,  Zhou YUAN

IPC: G06T7/00 ,  A61B6/00 ,  G06T7/12 ,  G06T7/73 ,  G06V10/77 ,  G06V10/774 ,  G06V10/82 ,  G06V40/10 ,  G16H30/40

CPC classification number: G06T7/0012 ,  A61B6/488 ,  G06T7/12 ,  G06T7/73 ,  G06V10/7715 ,  G06V10/774 ,  G06V10/82 ,  G06V40/10 ,  G16H30/40 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30196 ,  G06V2201/03

Abstract: A method and a system for medical imaging may be provided. A first optical image of a target subject that includes a target region to be scanned or treated by a medical device may be obtained. At least one body part boundary and at least one feature point of the target subject may be identified using at least one target recognition model from the first optical image. An image region corresponding to the target region of the target subject may be identified from the first optical image based on the at least one body part boundary and the at least one feature point. At least one first edge of the image region may be determined based on the at least one body part boundary, and at least one second edge of the image region may be determined based on the at least one feature point.