Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images

Digital staining for the automated annotation of mass spectrometry imaging (MSI) data has previously been achieved using state-of-the-art classifiers such as random forests or support vector machines (SVMs). However, the training of such classifiers requires an expert to label exemplary data in adva...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Analytical chemistry (Washington) 2013-01, Vol.85 (1), p.147-155
Hauptverfasser:	Hanselmann, Michael, Röder, Jens, Köthe, Ullrich, Renard, Bernhard Y, Heeren, Ron M. A, Hamprecht, Fred A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Classification Humans Ions Learning Mass spectrometry MCF-7 Cells Mice Pattern Recognition, Automated Spectrometry, Mass, Secondary Ion Support Vector Machine Transplantation, Heterologous
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!