Convolutional neural network-based automatic classification for incomplete antibody reaction intensi...
Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test image
About this item
Full title
Author / Creator
Wu, KeQing , Duan, ShengBao , Wang, YuJue , Wang, HongMei and Gao, Xin
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
The precise classification of incomplete antibody reaction intensity (IARI) in hydrogel chromatography medium high density medium solid-phase Coombs test is essential for haemolytic disease screening. However, an automatic and contactless method is required for accurate classification of IARI. Here, we present a deep ensemble learning model that in...
Alternative Titles
Full title
Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test image
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8901095
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8901095
Other Identifiers
ISSN
0140-0118
E-ISSN
1741-0444
DOI
10.1007/s11517-022-02523-1
