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...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings (International Symposium on Biomedical Imaging) s. 1 - 5
Hlavní autori:	Sandarenu, Piumi, Chen, Julia, Slapetova, Iveta, Browne, Lois, Graham, Peter H., Swarbrick, Alexander, Millar, Ewan K.A., Song, Yang, Meijering, Erik
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 27.05.2024
Predmet:	cell feature extraction Feature extraction Limiting Measurement Multiplexed immunofluorescence Multiplexing Phenotypes Pipelines semi-supervised variational autoencoder tumour microenvironment Visualization
ISSN:	1945-8452
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!