Huawei Technologies Co., Limited

Hon Hai Precision Industry Co., Ltd.

Fu Tai Hua Industry (shenzhen) Co., Ltd.

Shanghai United Imaging Healthcare Co., Ltd.

Shanghai United Imaging Intelligence Co., Ltd.

Zte Corporation

Huawei Technologies,co., Ltd.

Yang Xin

Xiaobo Wu

Weiwei Chong

Fangyuan Zhu

Yan Li

Tsung-Jen Chuang

Yongcui Li

Runze Zhou

Clarissa Marquezan

Tao Li

Qing Wei

Jun-Wei Zhang

Qiang You

Ren-Wen Huang

Hui Ni

Guobin Li

Shih-Fang Wong

Yizhuang Wu

Nan Liu

Yin-Zhan Wang

Yali Yan

Haoren Zhu

Tingrong Shi

Xiaoqian Huang

Shengxian Nie

Suhang Mao

Weisheng Jin

Zhongping Chen

Lei Zhang

Yong Wang

Li Hu

Lifeng Liu

Qi-Long Yu

Zhibin Zheng

Kai Zhao

Tao Sun

Yuhang Shi

Ji-Xiang Yin

Manli Sun

Li Tong

Hongliang Zhu

Chong-Jin Ma

Yixian Yang

Hong-Fei Deng

Lixiang Hu

Yanxia Chen

A first entity for a communication network is provided. The first entity is configured to receive a feature mapping indication from a second entity of the communication network. The feature mapping indication comprises characteristics of a relationship between a set of data samples and properties of data in the data samples of the set of data samples for an analytics model at an analytics stage, wherein the feature mapping indication comprises a request for a feature mapping data structure. The feature mapping data structure includes a second set of data samples based on the relationship between the set of data samples and the properties of the data in the data samples of the set of data samples for use with the analytics model at the analytics stage for an analytics consumer.

Entities and methods for enabling control of a usage of collected data in multiple analytics phases in communication networks

The present disclosure discloses a calibration method and system for medical imaging. The calibration method comprising: obtaining imaging data; dividing the imaging data into a plurality of patches; and calibrating the imaging data based on one or more target patches of the plurality of patches, wherein the one or more target patches is a part of the plurality of patches.

Calibration methods and systems for medical imaging

A method may include obtaining an image of an object; obtaining a target artifact identification model; determining target artifact feature information by inputting the image into the target artifact identification model, the target artifact feature information indicating a feature of one or more artifacts in the image; obtaining a target artifact extent determination model; determining target artifact extent indication information by inputting the image and the target artifact feature information into the target artifact extent determination model, the target artifact extent indication information indicating an influence extent of the one or more artifacts on an image quality of the image; in response to determining that the influence extent is greater than or equal to the extent threshold, outputting a notice of the one or more artifacts of the image.

Systems and methods for image processing

A communication method includes: sending, by a policy control network element, first query information to a data analytics network element, where the first query information is used to obtain service quality information; and receiving, by the policy control network element, first response information sent by the data analytics network element, where the first response information includes the quality information that is of the service and that is requested using the first query information.

Communication method and related device

This application provides a communication method, a communication apparatus, a device, and a communication system. A data analytics network element determines a service quality analytics result for a target terminal device, and sends the service quality analytics result to an access network element. After receiving the service quality analytics result, the access network element may perform handover decision on the target terminal device based on the service quality analytics result.

Communication method, communication apparatus, device, and communication system

The present disclosure relates to information processing methods, apparatus, and systems. In one example method, a first network element receives data analytics information from a first data analytics network element, where the data analytics information includes one or more of an identifier of a first terminal, activity degree information of the first terminal, moving trajectory information of the first terminal, and first risk information of the first terminal. The first network element determines an association relationship between the first terminal and an emergency event based on the data analytics information.

Information processing method, apparatus, and system

A policy determining method is disclosed, and includes: obtaining, based on a digital twin entity, first data and a label corresponding to the first data; and training, based on the first data and the label corresponding to the first data, to obtain an artificial intelligence AI model. The AI model is configured to obtain an air interface access policy and/or a user plane path selection policy of a plurality of terminal devices in a network or in an area. This helps resolve a problem of the air interface access policy and user plane path selection of the plurality of terminal devices in the network or in the area. This can further ensure that network energy consumption is the lowest when overall average service experience of the terminal devices reaches a specific threshold.

Policy determining method and apparatus

This application provides a user plane path selection method and an apparatus. The method includes: A first network element determines, based on at least one service type corresponding to a terminal device, service experience analytics data corresponding to the at least one service type, and then selects one or more user plane paths for a session of the terminal device based on the service experience analytics data. This enables a user plane path to be associated with a service, helps select a more appropriate user plane path for the terminal device, and can improve communication efficiency.

User plane path selection method and apparatus

This application provides a model training method and apparatus. The method includes: obtaining first capability information and second capability information of a client; determining, based on the first capability information and the second capability information, that the client reports model information to a cloud server or an edge server; and sending first indication information to the client. The first indication information indicates the client to report the model information to the cloud server or the edge server. According to the model training method and apparatus provided in this application, in a horizontal federated training method in a hybrid mode, a manner of reporting local model information by the client may be flexibly selected based on capability information of the client, so that horizontal federated training efficiency can be improved.

Model training method and apparatus

The present disclosure provides a system. The system may include a medical device, a couch, one or more imaging devices, and a control device. The medical device may include a cavity. The couch may be configured to support a subject. The one or more imaging devices may be configured to acquire image data. The image data may indicate at least one of a target portion of the subject or posture information of a user. The control device may be configured to control a movement of the couch based on at least one of position information of the target portion of the subject or the posture information of the user.

Systems and methods for magnetic resonance imaging

A communication method includes sending, by a first data analytics network element, a first request to a service discovery network element. The first request requests information about a second data analytics network element. The first request includes one or more of information about distributed learning or first indication information. The information about distributed learning includes a type of distributed learning. The first indication information indicates a type of the second data analytics network element. The method also includes receiving, by the first data analytics network element, information about the second data analytics network element from the service discovery network element. The second data analytics network element supports the type of distributed learning.

Communication method, apparatus, and system

A session management method, an access management function device, and a session management device, where the method is carried out by an access and mobility management network element and includes: obtaining first subscription data of a terminal in a first communications network and second subscription data of the terminal in a second communications network, where the first subscription data includes a data network name (DNN), and the second subscription data includes an access point name (APN) corresponding to the DNN; allocating a bearer identifier to a bearer in a packet data network (PDN) connection corresponding to the APN; receiving a flow identifier that is of a flow in a protocol data unit (PDU) session corresponding to the DNN and that is sent by a session management network element; and sending the bearer identifier and the flow identifier to the terminal.

Method for allocating bearer identifier, apparatus, and system

The present disclosure provides a system and method for image data acquisition. The method may include obtaining image data of a subject including a first type of tissue and a second type of tissue. The method may include determining, based on the image data of the subject, a target portion including at least a portion of at least one of the first type of tissue or the second type of tissue. The method may include determining, based at least in part on the target portion represented in the image data, a scan mode corresponding to the target portion. The method may include causing an imaging device to acquire, based on the scan mode, image data of the target portion.

Systems and methods for image data acquisition

Embodiments of this application disclose a communication method and a communication apparatus, to identify application information of first data, and improve an application analytics success rate. The method includes: A first data analytics network element receives first information of an application from a first network element, where the first information includes first application description information and/or an application status that correspond/corresponds to the application, the first application description information includes an application identifier and first IP information that correspond to the application, and the application status includes a foreground state or a background state of the application; the first data analytics network element determines second information based on the first information; and the first data analytics network element sends the second information to a second network element.

Communication method and communication apparatus

A packet transmission method, including receiving, by a session management function network element, first access network tunnel information and second access network tunnel information that correspond to a first service, and sending a downlink forwarding rule to a user plane function network element, where the downlink forwarding rule includes the first access network tunnel information and the second access network tunnel information, and the downlink forwarding rule indicates the user plane function network element to replicate a received downlink packet of the first service, and send downlink packets of the first service through two paths respectively corresponding to the first access network tunnel information and the second access network tunnel information.

Packet transmission method, apparatus, and system

Growing community of inventors

Shanghai, China

Yang Xin