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...

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Bibliographic Details

Published in:	Proceedings (International Symposium on Biomedical Imaging) pp. 1 - 5
Main Authors:	Sandarenu, Piumi, Chen, Julia, Slapetova, Iveta, Browne, Lois, Graham, Peter H., Swarbrick, Alexander, Millar, Ewan K.A., Song, Yang, Meijering, Erik
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27.05.2024
Subjects:	cell feature extraction Feature extraction Limiting Measurement Multiplexed immunofluorescence Multiplexing Phenotypes Pipelines semi-supervised variational autoencoder tumour microenvironment Visualization
ISSN:	1945-8452
Online Access:	Get full text
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