In Reply to Performance of Deep Learning in the Interpretation of Serum Protein Electrophoresis.
Journal
Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549
Informations de publication
Date de publication:
06 10 2022
06 10 2022
Historique:
received:
15
07
2022
accepted:
22
07
2022
pubmed:
16
9
2022
medline:
12
10
2022
entrez:
15
9
2022
Statut:
ppublish
Résumé
We thank He et al. for their comments on our article (1), which gives us the opportunity to clarify some methodological points. 1. Detection of abnormal patterns: mechanics.
Identifiants
pubmed: 36107955
pii: 6701662
doi: 10.1093/clinchem/hvac145
doi:
Substances chimiques
Blood Proteins
0
Types de publication
Research Support, Non-U.S. Gov't
Letter
Comment
Langues
eng
Sous-ensembles de citation
IM
Pagination
1341-1343Commentaires et corrections
Type : CommentOn
Type : CommentOn
Informations de copyright
© American Association for Clinical Chemistry 2022.