Crossmark

Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test image

Published Online: 2022-03-07

Published Print: 2022-04

Authors

Wu, KeQing

Duan, ShengBao

Wang, YuJue

Wang, HongMei

Gao, Xin https://orcid.org/0000-0001-9906-0596
Funding

Funding for this research was provided by:

Development Program of Guangdong Province (2019B010152001)

Key Research and Development Program of Jiangsu (BE2021663)

Research Fund of Jihua Laboratory (X190171TD190)

Special fund for high-tech industrialisation of science and technology cooperation between Jilin Province and Chinese Academy of Sciences (2020SYHZ0025)

National Natural Science Foundation of China (81871439)

Shandong Province Department of Science and Technology (ZR2020QF019)
License Information

Text and Data Mining valid from 2022-03-07

Version of Record valid from 2022-03-07
More Information

Article History

Received: 26 October 2021

Accepted: 30 January 2022

First Online: 7 March 2022

Declarations

:

: The authors declare no competing interests.

Document is current