Huawei Technologies Co., Limited

Shanghai United Imaging Healthcare Co., Ltd.

Shanghai United Imaging Intelligence Co., Ltd.

Jiyong Wang

Ming Fang

Yang Zhao

Yongjun Yu

Yiqiang Zhan

Yaozong Gao

Yanbo Chen

Xiangjun Chen

Weiyang Xie

Jing Liu

Dong Chen

Fei Wang

Cheng Li

Zhen Li

Ce Wang

Yufei Mao

Liangliang Pan

Jieyan Ma

Bin Tan

Jun Qin

Qi Duan

Shuai Wang

Zhao Zhang

Wenqing Liu

Yinghong Yang

Lilong Wang

Bing Shu

Yong Luo

Chuanfeng Lyu

Chuanfeng Lv

Xiangyang Xu

Wenhua Wang

Qingfeng Chang

Fanfan Zhang

Shili Cao

Jie Qu

Lianghai Jin

Qiancheng Sun

Wanwan Cao

The present disclosure provides a region of interest (ROI) detection system. The system may be configured to acquire a target image and an ROI detection model, and perform ROI detection on the target image by applying the ROI detection model to the target image. The ROI detection model may be a trained cascaded neural network including a plurality of sequentially connected trained models. The plurality of trained models may include a trained first model and at least one trained second model downstream to the trained first model in the trained cascaded neural network. The plurality of trained models may be sequentially trained. Each of the trained second model may be trained using a plurality of training samples determined based on one or more trained models of the plurality of trained models generated before the generation of the trained second model.

Systems and methods for detecting region of interset in image

The present disclosure relates to a method and system for image searching. In the image searching process, different images comprising specific regions are obtained respective, and features in the specific regions of the different images are extracted respectively based on a convolution neural network algorithm. Feature data related to the features corresponding to the different images is calculated, and the different images are ranked based on the feature data so as to identify the image needed.

Systems and methods for image search

The present disclosure relates to a method for training a classifier. The method includes: acquiring an original image; determining a candidate target by segmenting the original image based on at least two segmentation models; determining a universal set of features by extracting features from the candidate target; determining a reference subset of features by selecting features from the universal set of features; and determining a classifier by performing classifier training based on the reference subset of features.

System and method for computer aided diagnosis

A method and system for image processing is provided. The technique includes acquiring data related to the processing, performing a pre-processing of the data, performing a segmentation of a subject, performing a post-processing of the result of the segmentation and managing storage of the data. The post-process includes a calibrating and a rendering of the data.

Methods and systems for identifying spine or bone regions in computed tomography image sequence

The embodiments of the present invention disclose a method for establishing a cell reselection list is provided. A network and a terminal establish frequency indexes for the cell reselection list, so that when a network side delivers an RAT and frequency priority information, the priority information may be delivered according to frequency indexes in a frequency list, thus implementing cell reselection that is based on the priority for the terminal.

Method and apparatus for establishing cell reselection list

Embodiments of the present invention provide a method, a terminal device, a network-side device, and a communications system for managing a power supply. The method includes: determining a terminal power consumption level according to remaining power or terminal settings, where the terminal power consumption level is one of at least two power consumption levels. In the embodiments of the present invention, different power consumption levels are applied according to different remaining power of a terminal power supply or terminal settings, thereby adapting to differentiated power consumption requirements and improving the power supply utilization efficiency of a terminal.

Method, terminal device, network-side device, and communications system for managing power supply

Embodiments of the present invention disclose a method, an apparatus, and a system for resource immediate assignment, which includes: constructing an immediate assignment message according to channel request messages of at least two terminals, where the immediate assignment message assigns a channel resource for the at least two terminals according to the channel request messages of the at least two terminals; and sending the immediate assignment message out. By implementing the embodiments of the present invention, in a case that a valid byte of an immediate assignment message is unchanged, one immediate assignment message can assign a packet resource for at least two terminals, thereby satisfying an access requirement of more terminals.

Method, apparatus and system for resource immediate assignment

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Shanghai, China

Jiyong Wang