Beijing Friendship Hospital, Capital Medical University

Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Baidu Netcom Science and Technology Co., Ltd.

Yawen Liu

Han Lv

Zhenchang Wang

Pengling Ren

Linkun Cai

Jing Li

Dong Hui Liu

Wei Zheng

Pengfei Zhao

Tingting Zhang

Hongxia Yin

Dehong Luo

Erwei Zhao

Dong Liu

Shuo Li

Jia Qi Li

Jing Sun

Qian Chen

Jiabing Leng

Xuechao Wei

Wenbo Yang

Mingfa Zhu

Feng Huang

Yonggao Fu

Xinghao Wang

Ruowei Tang

Disclosed are a hearing state prediction apparatus and method based on a diffusion tensor image, including: obtaining a diffusion tensor image to be processed, wherein the diffusion tensor image comprises a diffusion-weighted image; generating a diffusion index image based on the diffusion-weighted image; determining a white matter microstructural feature corresponding to the diffusion tensor image, and determining a hearing state corresponding to the diffusion tensor image according to a mapping relationship between the white matter microstructural feature and the hearing state. The apparatus may generate the diffusion index image through the diffusion-weighted image included in the diffusion tensor image, and then the white matter microstructural feature is determined based on the diffusion index image, so that the white matter microstructural feature can be identified more accurately, and the accuracy of a hearing state evaluation result is improved. Meanwhile, the relation between hearing disorder and brain microstructure change is disclosed.

Hearing state prediction apparatus and method based on diffusion tensor image

The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.

Cerebral perfusion state classification apparatus and method, device, and storage medium

The present disclosure provides a method and apparatus for processing a streaming media service, an electronic device, and a storage medium, and relates to the technical field of computers, particularly to technical fields such as industrial vision, deep learning, streaming media, and information flow. A specific implementation solution involves: acquiring registration information of an input source, the registration information including process information of a streaming media service process of the input source and streaming media address information of the input source; enabling the streaming media service process according to the process information; and controlling, by using the streaming media address information, the streaming media service process to process streaming media data of the input source.

Method and apparatus for processing streaming media service, electronic device, and storage medium

The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.

Cerebral perfusion state classification apparatus, method and device, and model training apparatus

Growing community of inventors

Beijing, China

Yawen Liu