Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images

Advancements in digital imaging technologies have sparked increased interest in using multiplexed immunofluorescence (mIF) images to visualise and identify the interactions between specific immunophenotypes with the tumour microenvironment at the cellular level. Current state-of-the-art multiplexed...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Proceedings (International Symposium on Biomedical Imaging) S. 1 - 5
Hauptverfasser:	Sandarenu, Piumi, Chen, Julia, Slapetova, Iveta, Browne, Lois, Graham, Peter H., Swarbrick, Alexander, Millar, Ewan K.A., Song, Yang, Meijering, Erik
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 27.05.2024
Schlagworte:	cell feature extraction Feature extraction Limiting Measurement Multiplexed immunofluorescence Multiplexing Phenotypes Pipelines semi-supervised variational autoencoder tumour microenvironment Visualization
ISSN:	1945-8452
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!