Work

Intelligent interpretation of four lung ultrasonographic features with split attention based deep learning model

Year: 2022

Type: article

Source: Biomedical Signal Processing and Control

DOI: 10.1016/j.bspc.2022.104228

Authors: Jiangang Chen, Mengjun Shen, Size Hou, Xiaoqian Duan, Minglei Yang, Yucheng Cao, Wei Qin, Qiang Niu, Qingli Li, Yi Zhang, Yin Wang

Institutions: East China Normal University, Tongji University, Shanghai Pulmonary Hospital, University of Liverpool, Xi’an Jiaotong-Liverpool University, Neusoft (China), Neusoft Medical Systems Co., Ltd. (China)

Language: English

Topic: Ultrasound in Clinical Applications

Subfield: Critical Care and Intensive Care Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Pulmonary Hospital

Awards: G2527185383, G2838608335, G3440268763, G382025280, G5137519942, G7638806211, G8926060173

OpenAlex ID: W4310072353

FWCI: 0.53

Cites: 46

Cited by: 9

Related to: 10