Work

iCVM: An Interpretable Deep Learning Model for CVM Assessment Under Label Uncertainty

Year: 2022

Type: article

Source: IEEE Journal of Biomedical and Health Informatics

DOI: 10.1109/jbhi.2022.3179619

Authors: Ni Liao, Jian Dai, Yao Tang, Qiaoyong Zhong, Shuixue Mo

Institutions: Guangxi Medical University, Hikvision (China)

Language: English

Topic: Orthodontics and Dentofacial Orthopedics

Subfield: Orthodontics

Field: Dentistry

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G2088062938, 机械压力信号在人牙龈成纤维细胞纤维化传导通路中的初步研究

OpenAlex ID: W4282929048

FWCI: 6.357

Cites: 53

Cited by: 32

Related to: 10