Alibaba Group Holding Limited

Xiansheng Hua

Ying Chi

Yu Ying Wang

Wei Jia Liu

Xuansong Xie

Chao Liu

Lei Zhang

Yang Liu

Yu Wang

Min Li

Chen Chen

Pan Pan

Wei Liu

Zhongming Jin

Jianqiang Huang

Chen Shen

Yingya Zhang

Yongguang Yang

Zhiqi Cheng

Embodiments of the disclosure provide a method, apparatus, and device for data processing. The method comprises: obtaining data of at least two different modalities, the data comprising at least first data and second data, the first data and second stored in respective data sources; determining an overlapping keyword correlating the first data and the second data by analyzing textual descriptions associated with the first data and second data and identifying the overlapping keyword as appearing in a textual description of the first data and in a textual description of the second data; and storing the first data and the second data in an associative manner based on the overlapping keyword, the associative manner generated using the overlapping keyword.

Data processing method, apparatus, and device

The present application discloses a method, device, and system for processing a medical image. The method includes obtaining a source spinal image, identifying one or more vertebral bodies and one or more intervertebral discs comprised in the source spinal image, determining the vertebral body recognition results corresponding to the one or more vertebral bodies and the intervertebral disc recognition results corresponding to the one or more intervertebral discs, and determining target recognition results corresponding to the source spinal image based at least in part one on one or more of the vertebral body recognition results and the intervertebral disc recognition results.

Processing method, model training method, means, and storage medium for spinal images

Embodiments of the disclosure provide methods, apparatuses, and computer-readable media for generating image reports. In one embodiment, the method includes: obtaining an image to be analyzed; determining at least one reference image corresponding to the image to be analyzed, the at least one reference image corresponding to a respective reference image report; and generating, based on the reference image report, an image report corresponding to the image to be analyzed. In the method for generating an image report provided by the embodiments, by obtaining an image to be analyzed is obtained, at least one reference image corresponding to the image to be analyzed is determined; and an image report corresponding to the image to be analyzed is generated based on a respective reference image report corresponding to the at least one reference image. Therefore, medical staff are assisted in quickly writing an image report, thereby ensuring the quality and the efficiency of the image report, reducing labor costs and time costs required for collating the image report, and further improving the practicability of the method.

Method and apparatus for generating image reports

Type prediction method, apparatus and electronic device for recognizing an object in an image are disclosed. The method may include processing an image to be processed using a full image recognition technique to obtain a first type prediction result of an object in the image to be processed; processing a subject area of the image to be processed using a feature recognition technique to obtain a second type prediction result of an object of the subject area; determining whether the first type prediction result matches the second type prediction result; if the first type prediction result matches the second type prediction result, determining a type of the object of the image to be processed to be the first type prediction result or the second type prediction result.

Type prediction method, apparatus and electronic device for recognizing an object in an image

A recommended object determination method includes: acquiring at least one key frame corresponding to video data, the key frame being a video frame that validly identifies an in-frame object; performing an object detection operation on a first key frame among the key frames to determine object information associated with the first key frame, the object information including: object semantic information and object visual information; and determining candidate objects based on the object semantic information, and obtaining a recommended object associated with the first key frame by screening the candidate objects based on the object visual information. A user may be provided with a object precisely associated with video content, thus improving user experience.

Determining recommended object

A system includes a video traffic information analysis module configured to acquire a traffic condition parameter of a road network from video traffic information; a traffic condition prediction module configured to predict a traffic condition in a future period of time according to the traffic condition parameter to obtain a traffic condition prediction result; an actual traffic condition assessment module configured to assess an actual traffic condition based on the traffic condition parameter and according to a traffic condition evaluation model to obtain an actual traffic condition assessment result; and a traffic control decision module configured to determine a control scheme for a controllable traffic element using an optimization algorithm according to the traffic condition prediction result and the actual traffic condition assessment result. Traffic conflicts between motor vehicles, pedestrians and non-motor vehicles at intersections in a road network are reduced, thus effectively alleviating traffic congestion at the intersections.

Road traffic control system, method, and electronic device

Growing community of inventors

Hangzhou, China

Xiansheng Hua