Automatic classification of signal regions in (1)H Nuclear Magnetic Resonance spectra

The identification and characterization of signal regions in Nuclear Magnetic Resonance (NMR) spectra is a challenging but crucial phase in the analysis and determination of complex chemical compounds. Here, we present a novel supervised deep learning approach to perform automatic detection and clas...

Descripción completa

Detalles Bibliográficos
Autores principales: Fischetti, Giulia, Schmid, Nicolas, Bruderer, Simon, Caldarelli, Guido, Scarso, Alessandro, Henrici, Andreas, Wilhelm, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874632/
https://www.ncbi.nlm.nih.gov/pubmed/36714208
http://dx.doi.org/10.3389/frai.2022.1116416

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874632/
https://www.ncbi.nlm.nih.gov/pubmed/36714208
http://dx.doi.org/10.3389/frai.2022.1116416

Ejemplares similares